This document assumes the reader is familiar with DPV through the Primer for Data Privacy Vocabulary , and thus focuses on providing a topically structured documentation of concepts defined by DPV.
DPV's terms are defined using abstract semantic notions Concept
and Relation
derived from SKOS concepts and semantic relations respectively. The use of relations is bounded using hasDomain
and hasRange
. These enable representing DPV's concepts as a thesauri , i.e. a list of concepts using SKOS, and to serialise them for different semantic models. For a summary of how these are mapped to [RDFS ] & [SKOS ] in [DPV-SKOS ], and [OWL ] in [DPV-OWL ] - see Appendix .
Concept A concept
Relation A relation between concepts
hasDomain The domain of a relation
hasRange The range of a relation
isSubTypeOf A relation indicating sub-category or sub-set
isInstanceOf A relation indicating type or instance
The interpretation of DPV's concept can be done through serialisation. DPV provides two such serialisations: [DPV-OWL ] that uses OWL2 and [DPV-SKOS ] that uses RDFS+SKOS. The DPV Family of Documents provides an overview of all serialisations related to the DPV.
DPV consists of certain 'core concept' that are intended to be independent representations of specific information, and are distinct from other core concepts. For example, the Purpose (e.g. Optimisation ) refers only to the purpose of why personal data is processed and is independent as a concept from the PersonalData (e.g. Location ) or the Processing activities (e.g. collect , store ) involved to carry out that purpose.
The structuring of DPV is based on providing rich and comprehensive taxonomies that group concepts together based on each core concept, e.g. taxonomy of purposes, which is reflected in the serialisation and documentation (e.g. this document). Other extentions provide additional concepts that expand DPV's concept or complement them with separation and optionality through namespaces. For a list of all DPV related documents, see document family section.
Figure 1 Overview of concepts in DPV
DPV can be viewed as a hierarchical taxonomy of concepts where each core concept
represents the top-most abstract concept in a tree and each of its children provide a lesser abstract or more concrete concept. For example, consider the concept of PersonalData which is the abstract representation of personal data . It can be further refined or extended as SensitivePersonalData , and further as SpecialCategoryPersonalData and then as GeneticData and so on.
From this perspective, the top-most abstract concepts are collectively referred to as the core vocabulary within DPV. The goal of the DPV is to provide a rich collection of concepts for each of top concepts so as to enable their application within real-world use-cases. The identification of what constitutes a core concept is based on the need to represent information about it in a modular and independent form, such as that required for legal compliance.
The 'Base' or 'Core' concepts in DPV represent the most relevant concepts for representing information regarding the what, how, where, who, why of personal data and its processing. Each of these concepts is further elaborated as a taxonomy of concepts in a hierarchical fashion. The DPV provides the following as 'top-level' concepts and relations to associate them with other concepts:
DPV provides taxonomies for all core concepts except for PersonalDataHandling which represents an abstract concept to aid in 'grouping' the concepts with one another. The relation hasPersonalDataHandling associates a PersonalDataHandling with other concepts including itself.
The rest of the document expands on the core concepts through the following taxonomies.
Entities - different kinds of entities, the specific Legal Roles they can take, and categories of Organisations , Authorities , and Data Subjects .
Purposes that justify the need or goal for which personal data is processd.
Processing operations over personal data.
Personal Data that is relevant for processing.
Technical & Organisational Measures with dedicated sections for technical and organisational measures.
Legal Bases that justify the processing, with a dedicated section for Consent .
Contextual information about Processing such as storage conditions and automation, as well as Scale of Processing .
Contextual information in general such as frequency and duration, and Statuses associated with activities.
Locations & Jurisdictions providing relevance to laws, authorities, and location contexts.
Risk & Impacts for risk assessment, management, and expression of consequences and impacts associated with processing.
Rights and Rights Exercise for specifying what rights are applicable, how they can be exercised, and how to provide information associated with rights.
Rules for expressing constraints, requirements, and other forms of rules that can specify or assist in interpreting what is permitted, prohibited, mandatory, etc.
Further to these, there are separate extensions that provide additional concepts. These are:
Figure 2
DPV relies on existing well-founded interpretations for its concepts, which in this case relate to Entity as a generic universal concept and LegalEntity specifically referring to roles defined legally or within legal norms. Expanding on these, DPV provides a taxonomy of entities based on their application within laws and use-cases in the form of Legal roles , such as DataController , DataSubject , and Authority . Later, these concepts are expanded into taxonomies for different kinds of entities categorised under a common concept. For example, categories of Data Subjects such as Adult , User , or Employee ; or kinds of Authorities , or categories of Organisations .
Entity
|
Legal Entity
|
Natural Person
|
Representative
|
IRI
https://w3id.org/dpv#Entity
Term:
Entity
Label:
Entity
Description:
A human or non-human 'thing' that constitutes as an entity
Created:
2022-02-02
Contributor(s):
Harshvardhan J. Pandit
Examples:
dex:E0027 - Describing Entities
IRI
https://w3id.org/dpv#LegalEntity
Term:
LegalEntity
Label:
Legal Entity
Description:
A human or non-human 'thing' that constitutes as an entity and which is recognised and defined in law
SubType of:
dpv:Entity
Created:
2019-04-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NaturalPerson
Term:
NaturalPerson
Label:
Natural Person
Description:
A human
SubType of:
dpv:Entity
Created:
2022-02-09
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Representative
Term:
Representative
Label:
Representative
Description:
A representative of a legal entity
SubType of:
dpv:LegalEntity
Source:
GDPR Art.27
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg Krog,
Harshvardhan J. Pandit,
Paul Ryan
has address
|
has contact
|
has entity
|
has name
|
has representative
|
has responsible entity
|
is representative for
|
IRI
https://w3id.org/dpv#hasAddress
Term:
hasAddress
Label:
has address
Description:
Specifies address of a legal entity such as street address or pin code
Domain:
dpv:Entity
Range:
dpv:Concept
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J.Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasEntity
Term:
hasEntity
Label:
has entity
Description:
Indicates inclusion or applicability of an entity to some concept
Domain:
dpv:Concept
Range:
dpv:Entity
Created:
2022-02-09
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasName
Term:
hasName
Label:
has name
Description:
Specifies name of a legal entity
Domain:
dpv:Entity
Range:
dpv:Concept
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J.Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasRepresentative
Term:
hasRepresentative
Label:
has representative
Description:
Specifies representative of the legal entity
Domain:
dpv:Entity
Range:
dpv:Representative
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J.Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasResponsibleEntity
Term:
hasResponsibleEntity
Label:
has responsible entity
Description:
Specifies the indicated entity is responsible within some context
Domain:
dpv:Concept
Range:
dpv:Entity
Created:
2022-03-02
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#isRepresentativeFor
Term:
isRepresentativeFor
Label:
is representative for
Description:
Indicates the entity is a representative for specified entity
Domain:
dpv:Representative
Range:
dpv:Entity
Created:
2022-11-09
Contributor(s):
Harshvardhan J. Pandit
Legal Role is the role taken on by a legal entity based on definitions or criterias from laws, regulations, or other such normative sources. Legal roles assist in representing the role and responsibility of an entity within the context of processing, and from this to determine the requirements and obligations that should apply, and their compliance or conformance.
Data Controller
|
Data Exporter
|
Data Importer
|
Data Processor
|
Data Protection Officer
|
Data Sub-Processor
|
Joint Data Controllers
|
Recipient
|
Third Party
|
IRI
https://w3id.org/dpv#DataController
Term:
DataController
Label:
Data Controller
Description:
The individual or organisation that decides (or controls) the purpose(s) of processing personal data.
SubType of:
dpv:LegalEntity
Note:
The terms 'Controller' is usually the more common form of indicating a Data Controller. In ISO/IEC the term 'PII Controller' is used.
Source:
GDPR Art.4-7g
Created:
2019-04-05
Modified:
2020-11-04
Contributor(s):
Axel Polleres,
Javier Fernández
Examples:
dex:E0019 - Consent record
IRI
https://w3id.org/dpv#DataExporter
Term:
DataExporter
Label:
Data Exporter
Description:
An entity that 'exports' data where exporting is considered a form of data transfer
SubType of:
dpv:LegalEntity
Note:
The EU, in particular the EDPB, uses data exporter the context of cross-border data transfers/flows. These concepts are not bound by jurisdictional or geopolitical scopes within DPV and can thus be used for any notion of exporting
Source:
EDPB Recommendations 01/2020 on Data Transfers
Created:
2021-09-08
Contributor(s):
David Hickey,
Georg Krog,
Harshvardhan Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#DataImporter
Term:
DataImporter
Label:
Data Importer
Description:
An entity that 'imports' data where importing is considered a form of data transfer
SubType of:
dpv:Recipient
Note:
The EU, in particular the EDPB, uses data importing the context of cross-border data transfers/flows. These concepts are not bound by jurisdictional or geopolitical scopes within DPV and can thus be used for any notion of importing
Source:
EDPB Recommendations 01/2020 on Data Transfers
Created:
2021-09-08
Contributor(s):
David Hickey,
Georg Krog,
Harshvardhan Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#DataProcessor
Term:
DataProcessor
Label:
Data Processor
Description:
A ‘processor’ means a natural or legal person, public authority, agency or other body which processes personal data on behalf of the controller.
SubType of:
dpv:Recipient
Source:
GDPR Art.4-8
Created:
2019-06-04
Contributor(s):
Harshvardhan J. Pandit
Examples:
dex:E0011 - Storage Conditions
IRI
https://w3id.org/dpv#DataProtectionOfficer
Term:
DataProtectionOfficer
Label:
Data Protection Officer
Description:
An entity within or authorised by an organisation to monitor internal compliance, inform and advise on data protection obligations and act as a contact point for data subjects and the supervisory authority.
SubType of:
dpv:Representative
Source:
GDPR Art.37
Created:
2020-11-04
Modified:
2021-12-08
Contributor(s):
Georg Krog,
Paul Ryan
IRI
https://w3id.org/dpv#DataSubProcessor
Term:
DataSubProcessor
Label:
Data Sub-Processor
Description:
A 'sub-processor' is a processor engaged by another processor
SubType of:
dpv:DataProcessor
Note:
sub-processor' is a commonly used term similar to 'sub-contractor' and does not have a specific legal definition
Created:
2020-11-25
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#JointDataControllers
Term:
JointDataControllers
Label:
Joint Data Controllers
Description:
A group of Data Controllers that jointly determine the purposes and means of processing
SubType of:
dpv:DataController
Note:
To indicate the membership, hasDataController may be used
Created:
2022-02-02
Contributor(s):
Georg Krog,
Harshvardhan Pandit
IRI
https://w3id.org/dpv#Recipient
Term:
Recipient
Label:
Recipient
Description:
Entities that receive personal data
SubType of:
dpv:LegalEntity
Note:
A recipient of personal data can be used to indicate any entity that receives personal data. This can be a Third Party, Processor (GDPR), or even a Controller.
Source:
GDPR Art.4-9g ,
SPECIAL Project
Created:
2019-04-05
Modified:
2020-11-04
Contributor(s):
Axel Polleres,
Javier Fernández
See Also:
spl:AnyRecipient
Examples:
dex:E0019 - Consent record
IRI
https://w3id.org/dpv#ThirdParty
Term:
ThirdParty
Label:
Third Party
Description:
A ‘third party’ means a natural or legal person, public authority, agency or body other than the data subject, controller, processor and people who, under the direct authority of the controller or processor, are authorised to process personal data.
SubType of:
dpv:Recipient
Source:
GDPR Art.4-10
Created:
2019-06-04
Contributor(s):
Harshvardhan J. Pandit
has data controller
|
has data exporter
|
has data importer
|
has data processor
|
has data protection officer
|
has joint data controllers
|
has recipient
|
has recipient data controller
|
has recipient third party
|
IRI
https://w3id.org/dpv#hasDataController
Term:
hasDataController
Label:
has data controller
Description:
Indicates association with Data Controller
Domain:
dpv:Concept
Range:
dpv:DataController
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Bud Bruegger,
Harshvardhan J. Pandit,
Javier Fernández,
Mark Lizar
IRI
https://w3id.org/dpv#hasDataExporter
Term:
hasDataExporter
Label:
has data exporter
Description:
Indiciates inclusion or applicability of a LegalEntity in the role of Data Exporter
Domain:
dpv:Concept
Range:
dpv:DataExporter
Created:
2022-02-09
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasDataImporter
Term:
hasDataImporter
Label:
has data importer
Description:
Indiciates inclusion or applicability of a LegalEntity in the role of Data Importer
Domain:
dpv:Concept
Range:
dpv:DataImporter
Created:
2022-02-09
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasDataProcessor
Term:
hasDataProcessor
Label:
has data processor
Description:
Indiciates inclusion or applicability of a Data Processor
Domain:
dpv:Concept
Range:
dpv:DataProcessor
Created:
2022-02-09
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasDataProtectionOfficer
Term:
hasDataProtectionOfficer
Label:
has data protection officer
Description:
Specifices an associated data protection officer
Domain:
dpv:Concept
Range:
dpv:DataProtectionOfficer
Created:
2022-03-02
Contributor(s):
Paul Ryan,
Rob Brennan
IRI
https://w3id.org/dpv#hasJointDataControllers
Term:
hasJointDataControllers
Label:
has joint data controllers
Description:
Indicates inclusion or applicability of a Joint Data Controller
Domain:
dpv:Concept
Range:
dpv:JointDataControllers
Created:
2022-02-09
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasRecipient
Term:
hasRecipient
Label:
has recipient
Description:
Indicates Recipient of Personal Data
Domain:
dpv:Concept
Range:
dpv:Recipient
Source:
SPECIAL Project
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Bud Bruegger,
Harshvardhan J. Pandit,
Javier Fernández,
Mark Lizar
IRI
https://w3id.org/dpv#hasRecipientDataController
Term:
hasRecipientDataController
Label:
has recipient data controller
Description:
Indiciates inclusion or applicability of a Data Controller as a Recipient of persona data
Domain:
dpv:Concept
Range:
dpv:DataController
Created:
2022-02-09
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasRecipientThirdParty
Term:
hasRecipientThirdParty
Label:
has recipient third party
Description:
Indiciates inclusion or applicability of a Third Party as a Recipient of persona data
Domain:
dpv:Concept
Range:
dpv:ThirdParty
Created:
2022-02-09
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
The concept Authority is a specific Governmental Organisation authorised to enforce a law or regulation. Authorities can be associated with a specific domain, topic, or jurisdiction. DPV currently defines regional authorities for NationalAuthority , RegionalAuthority , and SupraNationalAuthority , and DataProtectionAuthority represents authorities associated with data protection and privacy. To associate authorities with concepts, the relations hasAuthority and isAuthorityFor are provided.
Authority
|
Data Protection Authority
|
National Authority
|
Regional Authority
|
Supra-National Authority
|
IRI
https://w3id.org/dpv#Authority
Term:
Authority
Label:
Authority
Description:
An authority with the power to create or enforce laws, or determine their compliance.
SubType of:
dpv:GovernmentalOrganisation ,
dpv:LegalEntity
Created:
2020-11-04
Contributor(s):
Georg Krog,
Harshvardhan Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#DataProtectionAuthority
Term:
DataProtectionAuthority
Label:
Data Protection Authority
Description:
An authority tasked with overseeing legal compliance regarding privacy and data protection laws.
SubType of:
dpv:Authority
Created:
2020-11-04
Contributor(s):
Georg Krog,
Harshvardhan Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#NationalAuthority
Term:
NationalAuthority
Label:
National Authority
Description:
An authority tasked with overseeing legal compliance for a nation
SubType of:
dpv:Authority
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#RegionalAuthority
Term:
RegionalAuthority
Label:
Regional Authority
Description:
An authority tasked with overseeing legal compliance for a region
SubType of:
dpv:Authority
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SupraNationalAuthority
Term:
SupraNationalAuthority
Label:
Supra-National Authority
Description:
An authority tasked with overseeing legal compliance for a supra-national union e.g. EU
SubType of:
dpv:Authority
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Contributor(s):
Harshvardhan J. Pandit
has authority
|
is authority for
|
IRI
https://w3id.org/dpv#hasAuthority
Term:
hasAuthority
Label:
has authority
Description:
Indicates applicability of authority for a jurisdiction
Domain:
dpv:Concept
Range:
dpv:Authority
Created:
2022-01-19
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#isAuthorityFor
Term:
isAuthorityFor
Label:
is authority for
Description:
Indicates area, scope, or applicability of an Authority
Domain:
dpv:Authority
Range:
dpv:Concept
Created:
2022-01-19
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
Academic or Scientific Organisation
|
For-Profit Organisation
|
Governmental Organisation
|
Industry Consortium
|
International Organisation
|
Non-Governmental Organisation
|
Non-Profit Organisation
|
Organisation
|
Organisational Unit
|
IRI
https://w3id.org/dpv#AcademicScientificOrganisation
Term:
AcademicScientificOrganisation
Label:
Academic or Scientific Organisation
Description:
Organisations related to academia or scientific pursuits e.g. Universities, Schools, Research Bodies
SubType of:
dpv:Organisation
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ForProfitOrganisation
Term:
ForProfitOrganisation
Label:
For-Profit Organisation
Description:
An organisation that aims to achieve profit as its primary goal
SubType of:
dpv:Organisation
Created:
2022-02-02
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#GovernmentalOrganisation
Term:
GovernmentalOrganisation
Label:
Governmental Organisation
Description:
An organisation managed or part of government
SubType of:
dpv:Organisation
Created:
2022-02-02
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#IndustryConsortium
Term:
IndustryConsortium
Label:
Industry Consortium
Description:
A consortium established and comprising on industry organisations
SubType of:
dpv:Organisation
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#InternationalOrganisation
Term:
InternationalOrganisation
Label:
International Organisation
Description:
An organisation and its subordinate bodies governed by public international law, or any other body which is set up by, or on the basis of, an agreement between two or more countries
SubType of:
dpv:Organisation
Source:
GDPR Art.4-26
Created:
2022-03-23
Modified:
2020-10-05
Contributor(s):
Georg P. Krog,
Julian Flake
IRI
https://w3id.org/dpv#NonGovernmentalOrganisation
Term:
NonGovernmentalOrganisation
Label:
Non-Governmental Organisation
Description:
An organisation not part of or independent from the government
SubType of:
dpv:Organisation
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NonProfitOrganisation
Term:
NonProfitOrganisation
Label:
Non-Profit Organisation
Description:
An organisation that does not aim to achieve profit as its primary goal
SubType of:
dpv:Organisation
Source:
ADMS controlled vocabulary
Created:
2022-02-02
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Organisation
Term:
Organisation
Label:
Organisation
Description:
A general term reflecting a company or a business or a group acting as a unit
SubType of:
dpv:LegalEntity
Created:
2022-02-02
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#OrganisationalUnit
Term:
OrganisationalUnit
Label:
Organisational Unit
Description:
Entity within an organisation that does not constitute as a separate legal entity
SubType of:
dpv:Entity
Created:
2022-03-23
Contributor(s):
Harshvardhan J. Pandit,
Paul Ryan
DPV provides a taxonomy of data subject types to assist with describing what kind of individuals or groups are associated with an use-case. Some examples of such types are agency-based roles: Adult and Child , ParentOfDataSubject , GuardianOfDataSubject ; those associated with vulnerability: VulnerableDataSubject , ElderlyDataSubject , AsylumSeeker ; domain-specific roles such as Patient , Employee , Student , jurisdictional roles such as Citizen , NonCitizen , Immigrant ; and general roles such as User , Member , Participant , and Client .
Adult
|
Applicant
|
Asylum Seeker
|
Child
|
Citizen
|
Client
|
Consumer
|
Customer
|
Data Subject
|
Elderly Data Subject
|
Employee
|
Guardian(s) of Data Subject
|
Immigrant
|
Job Applicant
|
Member
|
Mentally Vulnerable Data Subject
|
Non-Citizen
|
Parent(s) of Data Subject
|
Participant
|
Patient
|
Student
|
Subscriber
|
Tourist
|
User
|
Visitor
|
Vulnerable Data Subject
|
IRI
https://w3id.org/dpv#Adult
Term:
Adult
Label:
Adult
Description:
A natural person that is not a child i.e. has attained some legally specified age of adulthood
SubType of:
dpv:DataSubject
Created:
2022-03-30
Contributor(s):
Georg Krog
IRI
https://w3id.org/dpv#Applicant
Term:
Applicant
Label:
Applicant
Description:
Data subjects that are applicants in some context
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#AsylumSeeker
Term:
AsylumSeeker
Label:
Asylum Seeker
Description:
Data subjects that are asylum seekers
SubType of:
dpv:VulnerableDataSubject
Created:
2022-06-15
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#Child
Term:
Child
Label:
Child
Description:
A 'child' is a natural legal person who is below a certain legal age depending on the legal jurisdiction.
SubType of:
dpv:DataSubject
Note:
The legality of age defining a child varies by jurisdiction. In addition, 'child' is distinct from a 'minor'. For example, the legal age for consumption of alcohol can be 21, which makes a person of age 20 a 'minor' in this context. In other cases, 'minor' and 'child' are used interchangeably to refer to a person below some legally defined age.
Created:
2020-11-25
Modified:
2022-06-22
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Citizen
Term:
Citizen
Label:
Citizen
Description:
Data subjects that are citizens (for a jurisdiction)
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Client
Term:
Client
Label:
Client
Description:
Data subjects that are clients or recipients of services
SubType of:
dpv:Customer
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Consumer
Term:
Consumer
Label:
Consumer
Description:
Data subjects that consume goods or services for direct use
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Customer
Term:
Customer
Label:
Customer
Description:
Data subjects that purchase goods or services
SubType of:
dpv:DataSubject
Note:
note: for B2B relations where customers are organisations, this concept only applies for data subjects
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#DataSubject
Term:
DataSubject
Label:
Data Subject
Description:
The individual (or category of individuals) whose personal data is being processed
SubType of:
dpv:LegalEntity ,
dpv:NaturalPerson
Note:
The term 'data subject' is specific to the GDPR, but is functionally equivalent to the term 'individual' and the ISO/IEC term 'PII Principle'.
Source:
GDPR Art.4-1
Created:
2019-04-05
Modified:
2020-11-04
Contributor(s):
Axel Polleres,
Javier Fernández
IRI
https://w3id.org/dpv#ElderlyDataSubject
Term:
ElderlyDataSubject
Label:
Elderly Data Subject
Description:
Data subjects that are considered elderly (i.e. based on age)
SubType of:
dpv:VulnerableDataSubject
Created:
2022-06-15
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#Employee
Term:
Employee
Label:
Employee
Description:
Data subjects that are employees
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#GuardianOfDataSubject
Term:
GuardianOfDataSubject
Label:
Guardian(s) of Data Subject
Description:
Guardian(s) of data subjects such as children
SubType of:
dpv:DataSubject
Created:
2022-08-03
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#Immigrant
Term:
Immigrant
Label:
Immigrant
Description:
Data subjects that are immigrants (for a jurisdiction)
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#JobApplicant
Term:
JobApplicant
Label:
Job Applicant
Description:
Data subjects that apply for jobs or employments
SubType of:
dpv:Applicant
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Member
Term:
Member
Label:
Member
Description:
Data subjects that are members of a group, organisation, or other collectives
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#MentallyVulnerableDataSubject
Term:
MentallyVulnerableDataSubject
Label:
Mentally Vulnerable Data Subject
Description:
Data subjects that are considered mentally vulnerable
SubType of:
dpv:VulnerableDataSubject
Created:
2022-06-15
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#NonCitizen
Term:
NonCitizen
Label:
Non-Citizen
Description:
Data subjects that are not citizens (for a jurisdiction)
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ParentOfDataSubject
Term:
ParentOfDataSubject
Label:
Parent(s) of Data Subject
Description:
Parent(s) of data subjects such as children
SubType of:
dpv:DataSubject
Created:
2022-08-03
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#Participant
Term:
Participant
Label:
Participant
Description:
Data subjects that participate in some context such as volunteers in a function
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Patient
Term:
Patient
Label:
Patient
Description:
Data subjects that receive medican attention, treatment, care, advice, or other health related services
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Student
Term:
Student
Label:
Student
Description:
Data subjects that are students
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Subscriber
Term:
Subscriber
Label:
Subscriber
Description:
Data subjects that subscribe to service(s)
SubType of:
dpv:DataSubject
Note:
note: subscriber can be customer or consumer
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Tourist
Term:
Tourist
Label:
Tourist
Description:
Data subjects that are tourists i.e. not citizens and not immigrants
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#User
Term:
User
Label:
User
Description:
Data subjects that use service(s)
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Visitor
Term:
Visitor
Label:
Visitor
Description:
Data subjects that are temporary visitors
SubType of:
dpv:DataSubject
Created:
2022-04-06
Contributor(s):
Beatriz Esteves,
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#VulnerableDataSubject
Term:
VulnerableDataSubject
Label:
Vulnerable Data Subject
Description:
Data Subjects which should be considered 'vulnerable' and therefore would require additional measures and safeguards
SubType of:
dpv:DataSubject
Note:
This concept denotes a Data Subject or a group are vulnerable, but not what vulnerability they possess or its context. This information can be provided additionally as comments, or as separate concepts and relations. Proposals for this are welcome.
Created:
2020-11-04
Contributor(s):
Georg Krog,
Harshvardhan Pandit,
Paul Ryan
has data subject
|
has relation with data subject
|
IRI
https://w3id.org/dpv#hasDataSubject
Term:
hasDataSubject
Label:
has data subject
Description:
Indicates association with Data Subject
Domain:
dpv:Concept
Range:
dpv:DataSubject
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Bud Bruegger,
Harshvardhan J. Pandit,
Javier Fernández,
Mark Lizar
IRI
https://w3id.org/dpv#hasRelationWithDataSubject
Term:
hasRelationWithDataSubject
Label:
has relation with data subject
Description:
Indicates the relation between specified Entity and Data Subject
Domain:
dpv:Entity
Range:
dpv:Concept
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Figure 3 Overview of Purpose taxonomy in DPV (click to open in new window)
DPV’s taxonomy of purposes is used to represent the reason or justification for processing of personal data. For this, purposes are organised within DPV based on how they relate to the processing of personal data in terms of several factors, such as: management functions related to information (e.g. records, account, finance), fulfilment of objectives (e.g. delivery of goods), providing goods and services (e.g. service provision), intended benefits (e.g. optimisations for service provider or consumer), and legal compliance.
Academic Research
|
Account Management
|
Advertising
|
Anti-Terrorism Operations
|
Commercial Research
|
Communication for Customer Care
|
Communication Management
|
Counter Money Laundering
|
Credit Checking
|
Customer Care
|
Customer Claims Management
|
Customer Management
|
Customer Order Management
|
Customer Relationship Management
|
Customer Solvency Monitoring
|
Delivery of Goods
|
Direct Marketing
|
Dispute Management
|
Enforce Access Control
|
Enforce Security
|
Establish Contractual Agreement
|
Fraud Prevention and Detection
|
Fulfilment of Contractual Obligation
|
Fulfilment of Obligation
|
Human Resource Management
|
Identity Verification
|
Improve Existing Products and Services
|
Improve Internal CRM Processes
|
Increase Service Robustness
|
Internal Resource Optimisation
|
Legal Compliance
|
Maintain Credit Checking Database
|
Maintain Credit Rating Database
|
MaintainFraudDatabase
|
Marketing
|
Members and Partners Management
|
Non-Commercial Research
|
Optimisation for Consumer
|
Optimisation for Controller
|
Optimise User Interface
|
Organisation Compliance Management
|
Organisation Governance
|
Organisation Risk Management
|
Payment Management
|
Personalisation
|
Personalised Advertising
|
Personalised Benefits
|
Personnel Hiring
|
Personnel Management
|
Personnel Payment
|
Provide Event Recommendations
|
Provide Personalised Recommendations
|
Provide Product Recommendations
|
Public Relations
|
Purpose
|
Record Management
|
Repair Impairments
|
Requested Service Provision
|
Research and Development
|
Search Functionalities
|
Sector
|
Sell Data to Third Parties
|
Sell Insights from Data
|
Sell Products
|
Sell Products to Data Subject
|
Service Optimisation
|
Service Personalisation
|
Service Provision
|
Service Registration
|
Service Usage Analytics
|
Social Media Marketing
|
Targeted Advertising
|
Technical Service Provision
|
User Interface Personalisation
|
Vendor Management
|
Vendor Payment
|
Vendor Records Management
|
Vendor Selection Assessment
|
IRI
https://w3id.org/dpv#AcademicResearch
Term:
AcademicResearch
Label:
Academic Research
Description:
Purposes associated with conducting or assisting with research conducted in an academic context e.g. within universities
SubType of:
dpv:ResearchAndDevelopment
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Education
IRI
https://w3id.org/dpv#AccountManagement
Term:
AccountManagement
Label:
Account Management
Description:
Account Management refers to purposes associated with account management, such as to create, provide, maintain, and manage accounts
SubType of:
dpv:Purpose
Created:
2021-09-08
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Advertising
Term:
Advertising
Label:
Advertising
Description:
Purposes associated with conducting advertising i.e. process or artefact used to call attention to a product, service, etc. through announcements, notices, or other forms of communication
SubType of:
dpv:Marketing
Note:
Advertising is a subset of Marketing. Advertising by itself does not indicate 'personalisation' i.e. personalised ads.
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AntiTerrorismOperations
Term:
AntiTerrorismOperations
Label:
Anti-Terrorism Operations
Description:
Purposes associated with activities that detect, prevent, mitigate, or perform other activities for anti-terrorism
SubType of:
dpv:EnforceSecurity
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CommercialResearch
Term:
CommercialResearch
Label:
Commercial Research
Description:
Purposes associated with conducting research in a commercial setting or with intention to commercialise e.g. in a company or sponsored by a company
SubType of:
dpv:ResearchAndDevelopment
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Develop
IRI
https://w3id.org/dpv#CommunicationForCustomerCare
Term:
CommunicationForCustomerCare
Label:
Communication for Customer Care
Description:
Customer Care Communication refers to purposes associated with communicating with customers for assisting them, resolving issues, ensuring satisfaction, etc. in relation to services provided
SubType of:
dpv:CommunicationManagement ,
dpv:CustomerCare
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CommunicationManagement
Term:
CommunicationManagement
Label:
Communication Management
Description:
Communication Management refers to purposes associated with providing or managing communication activities e.g. to send an email for notifying some information
SubType of:
dpv:Purpose
Note:
This purpose by itself does not sufficiently and clearly indicate what the communication is about. As such, it is recommended to combine it with another purpose to indicate the application. For example, Communication of Payment.
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#CounterMoneyLaundering
Term:
CounterMoneyLaundering
Label:
Counter Money Laundering
Description:
Purposes associated with detection, prevention, and mitigation of mitigate money laundering
SubType of:
dpv:FraudPreventionAndDetection
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CreditChecking
Term:
CreditChecking
Label:
Credit Checking
Description:
Purposes associated with monitoring, performing, or assessing credit worthiness or solvency
SubType of:
dpv:CustomerSolvencyMonitoring
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CustomerCare
Term:
CustomerCare
Label:
Customer Care
Description:
Customer Care refers to purposes associated with purposes for providing assistance, resolving issues, ensuring satisfaction, etc. in relation to services provided
SubType of:
dpv:CustomerManagement
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Feedback
IRI
https://w3id.org/dpv#CustomerClaimsManagement
Term:
CustomerClaimsManagement
Label:
Customer Claims Management
Description:
Customer Claims Management refers to purposes associated with managing claims, including repayment of monies owed
SubType of:
dpv:CustomerManagement
Source:
Belgian DPA ROPA Template
Created:
2021-09-08
Contributor(s):
Beatriz,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CustomerManagement
Term:
CustomerManagement
Label:
Customer Management
Description:
Customer Management refers to purposes associated with managing activities related with past, current, and future customers
SubType of:
dpv:Purpose
Created:
2021-09-08
Contributor(s):
Beatriz,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CustomerOrderManagement
Term:
CustomerOrderManagement
Label:
Customer Order Management
Description:
Customer Order Management refers to purposes associated with managing customer orders i.e. processing of an order related to customer's purchase of good or services
SubType of:
dpv:CustomerManagement
Source:
Belgian DPA ROPA Template
Created:
2021-09-08
Contributor(s):
Beatriz,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CustomerRelationshipManagement
Term:
CustomerRelationshipManagement
Label:
Customer Relationship Management
Description:
Customer Relationship Management refers to purposes associated with managing and analysing interactions with past, current, and potential customers
SubType of:
dpv:CustomerManagement
Created:
2021-09-08
Contributor(s):
Beatriz,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CustomerSolvencyMonitoring
Term:
CustomerSolvencyMonitoring
Label:
Customer Solvency Monitoring
Description:
Customer Solvency Monitoring refers to purposes associated with monitor solvency of customers for financial diligence
SubType of:
dpv:CustomerManagement
Source:
Belgian DPA ROPA Template
Created:
2021-09-08
Contributor(s):
Beatriz,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DeliveryOfGoods
Term:
DeliveryOfGoods
Label:
Delivery of Goods
Description:
Purposes associated with delivering goods and services requested or asked by consumer
SubType of:
dpv:RequestedServiceProvision
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Delivery
IRI
https://w3id.org/dpv#DirectMarketing
Term:
DirectMarketing
Label:
Direct Marketing
Description:
Purposes associated with conducting direct marketing i.e. marketing communicated directly to the individual
SubType of:
dpv:Marketing
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DisputeManagement
Term:
DisputeManagement
Label:
Dispute Management
Description:
Purposes associated with activities that manage disputes by natural persons, private bodies, or public authorities relevant to organisation
SubType of:
dpv:OrganisationGovernance
Source:
Belgian DPA ROPA Template
Created:
2021-09-08
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#EnforceAccessControl
Term:
EnforceAccessControl
Label:
Enforce Access Control
Description:
Purposes associated with conducting or enforcing access control as a form of security
SubType of:
dpv:EnforceSecurity
Note:
Was previously "Access Control". Prefixed to distinguish from Technical Measure.
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Login
IRI
https://w3id.org/dpv#EnforceSecurity
Term:
EnforceSecurity
Label:
Enforce Security
Description:
Purposes associated with ensuring and enforcing security for data, personnel, or other related matters
SubType of:
dpv:Purpose
Note:
Was previous "Security". Prefixed to distinguish from TechOrg measures.
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#EstablishContractualAgreement
Term:
EstablishContractualAgreement
Label:
Establish Contractual Agreement
Description:
Purposes associated with carrying out data processing to establish an agreement, such as for entering into a contract
SubType of:
dpv:Purpose
Created:
2022-11-09
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#FraudPreventionAndDetection
Term:
FraudPreventionAndDetection
Label:
Fraud Prevention and Detection
Description:
Purposes associated with fraud detection, prevention, and mitigation
SubType of:
dpv:EnforceSecurity
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Government
IRI
https://w3id.org/dpv#FulfilmentOfContractualObligation
Term:
FulfilmentOfContractualObligation
Label:
Fulfilment of Contractual Obligation
Description:
Purposes associated with carrying out data processing to fulfill a contractual obligation
SubType of:
dpv:FulfilmentOfObligation
Created:
2022-11-09
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#FulfilmentOfObligation
Term:
FulfilmentOfObligation
Label:
Fulfilment of Obligation
Description:
Purposes associated with carrying out data processing to fulfill an obligation
SubType of:
dpv:Purpose
Created:
2022-11-09
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HumanResourceManagement
Term:
HumanResourceManagement
Label:
Human Resource Management
Description:
Purposes associated with managing humans and 'human resources' within the organisation for effective and efficient operations.
SubType of:
dpv:Purpose
Note:
HR is a broad concept. Its management includes, amongst others - recruiting employees and intermediaries e.g. brokers, independent representatives; payroll administration, remunerations, commissions, and wages; and application of social legislation.
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
Beatriz Esteves,
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#IdentityVerification
Term:
IdentityVerification
Label:
Identity Verification
Description:
Purposes associated with verifying or authorising identity as a form of security
SubType of:
dpv:EnforceSecurity
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#ImproveExistingProductsAndServices
Term:
ImproveExistingProductsAndServices
Label:
Improve Existing Products and Services
Description:
Purposes associated with improving existing products and services
SubType of:
dpv:OptimisationForController
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#ImproveInternalCRMProcesses
Term:
ImproveInternalCRMProcesses
Label:
Improve Internal CRM Processes
Description:
Purposes associated with improving customer-relationship management (CRM) processes
SubType of:
dpv:CustomerRelationshipManagement ,
dpv:OptimisationForController
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#IncreaseServiceRobustness
Term:
IncreaseServiceRobustness
Label:
Increase Service Robustness
Description:
Purposes associated with improving robustness and resilience of services
SubType of:
dpv:OptimisationForController
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#InternalResourceOptimisation
Term:
InternalResourceOptimisation
Label:
Internal Resource Optimisation
Description:
Purposes associated with optimisation of internal resource availability and usage for organisation
SubType of:
dpv:OptimisationForController
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#LegalCompliance
Term:
LegalCompliance
Label:
Legal Compliance
Description:
Purposes associated with carrying out data processing to fulfill a legal or statutory obligation
SubType of:
dpv:FulfilmentOfObligation
Note:
This purpose only refers to processing that is additionally required in order to fulfill the obligations and requirements associated with a law. For example, the use of consent would have its own separate purposes, with this purpose addressing a legal requirement for maintaining consent record (along with RecordManagement). This purpose will typically be used with Legal Obligation as the legal basis.
Created:
2020-11-04
Modified:
2022-11-09
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MaintainCreditCheckingDatabase
Term:
MaintainCreditCheckingDatabase
Label:
Maintain Credit Checking Database
Description:
Purposes associated with maintaining a Credit Checking Database
SubType of:
dpv:CreditChecking
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MaintainCreditRatingDatabase
Term:
MaintainCreditRatingDatabase
Label:
Maintain Credit Rating Database
Description:
Purposes associated with maintaining a Credit Rating Database
SubType of:
dpv:CreditChecking
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MaintainFraudDatabase
Term:
MaintainFraudDatabase
Label:
MaintainFraudDatabase
Description:
Purposes associated with maintaining a database related to identifying and identified fraud risks and fraud incidents
SubType of:
dpv:FraudPreventionAndDetection
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Marketing
Term:
Marketing
Label:
Marketing
Description:
Purposes associated with conducting marketing in relation to organisation or products or services e.g. promoting, selling, and distributing
SubType of:
dpv:Purpose
Note:
Was commercial interest, changed to consider Marketing a separate Purpose category by itself
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MemberPartnerManagement
Term:
MemberPartnerManagement
Label:
Members and Partners Management
Description:
Purposes associated with maintaining a registry of shareholders, members, or partners for governance, administration, and management functions
SubType of:
dpv:OrganisationGovernance
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#NonCommercialResearch
Term:
NonCommercialResearch
Label:
Non-Commercial Research
Description:
Purposes associated with conducting research in a non-commercial setting e.g. for a non-profit-organisation (NGO)
SubType of:
dpv:ResearchAndDevelopment
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#OptimisationForConsumer
Term:
OptimisationForConsumer
Label:
Optimisation for Consumer
Description:
Purposes associated with optimisation of activities and services for consumer or user
SubType of:
dpv:ServiceOptimisation
Note:
The term optmisation here refers to the efficiency of the service in terms of technical provision (or similar means) with benefits for everybody. Personalisation implies making changes that benefit the current user or persona.
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Custom
IRI
https://w3id.org/dpv#OptimisationForController
Term:
OptimisationForController
Label:
Optimisation for Controller
Description:
Purposes associated with optimisation of activities and services for provider or controller
SubType of:
dpv:ServiceOptimisation
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#OptimiseUserInterface
Term:
OptimiseUserInterface
Label:
Optimise User Interface
Description:
Purposes associated with optimisation of interfaces presented to the user
SubType of:
dpv:OptimisationForConsumer
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#OrganisationComplianceManagement
Term:
OrganisationComplianceManagement
Label:
Organisation Compliance Management
Description:
Purposes associated with managing compliance for organisation in relation to internal policies
SubType of:
dpv:OrganisationGovernance
Note:
Note that this concept relates to internal organisational compliance. The concept LegalCompliance should be used for external legal or regulatory compliance.
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#OrganisationGovernance
Term:
OrganisationGovernance
Label:
Organisation Governance
Description:
Purposes associated with conducting activities and functions for governance of an organisation
SubType of:
dpv:Purpose
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#OrganisationRiskManagement
Term:
OrganisationRiskManagement
Label:
Organisation Risk Management
Description:
Purposes associated with managing risk for organisation's activities
SubType of:
dpv:OrganisationGovernance
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#PaymentManagement
Term:
PaymentManagement
Label:
Payment Management
Description:
Purposes associated with processing and managing payment in relation to service, including invoicing and records
SubType of:
dpv:ServiceProvision
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Personalisation
Term:
Personalisation
Label:
Personalisation
Description:
Purposes associated with creating and providing customisation based on attributes and/or needs of person(s) or context(s).
SubType of:
dpv:Purpose
Note:
This term is a blanket purpose category for indicating personalisation of some other purpose, e.g. by creating a subclass of the other concept and Personalisation
Created:
2021-09-01
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#PersonalisedAdvertising
Term:
PersonalisedAdvertising
Label:
Personalised Advertising
Description:
Purposes associated with creating and providing personalised advertising
SubType of:
dpv:Advertising ,
dpv:Personalisation
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#PersonalisedBenefits
Term:
PersonalisedBenefits
Label:
Personalised Benefits
Description:
Purposes associated with creating and providing personalised benefits for a service
SubType of:
dpv:ServicePersonalisation
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#PersonnelHiring
Term:
PersonnelHiring
Label:
Personnel Hiring
Description:
Purposes associated with management and execution of hiring processes of personnel
SubType of:
dpv:PersonnelManagement
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#PersonnelManagement
Term:
PersonnelManagement
Label:
Personnel Management
Description:
Purposes associated with management of personnel associated with the organisation e.g. evaluation and management of employees and intermediaries
SubType of:
dpv:HumanResourceManagement
Source:
Belgian DPA ROPA Template
Created:
2022-03-30
Contributor(s):
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#PersonnelPayment
Term:
PersonnelPayment
Label:
Personnel Payment
Description:
Purposes associated with management and execution of payment of personnel
SubType of:
dpv:PersonnelManagement
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ProvideEventRecommendations
Term:
ProvideEventRecommendations
Label:
Provide Event Recommendations
Description:
Purposes associated with creating and providing personalised recommendations for events
SubType of:
dpv:ProvidePersonalisedRecommendations
Source:
SPECIAL Project
Created:
2019-11-26
Modified:
2022-10-14
Contributor(s):
Harshvardhan J. Pandit,
Rudy Jacob
IRI
https://w3id.org/dpv#ProvidePersonalisedRecommendations
Term:
ProvidePersonalisedRecommendations
Label:
Provide Personalised Recommendations
Description:
Purposes associated with creating and providing personalised recommendations
SubType of:
dpv:ServicePersonalisation
Source:
SPECIAL Project
Created:
2019-11-26
Modified:
2022-10-14
Contributor(s):
Harshvardhan J. Pandit,
Rudy Jacob
IRI
https://w3id.org/dpv#ProvideProductRecommendations
Term:
ProvideProductRecommendations
Label:
Provide Product Recommendations
Description:
Purposes associated with creating and providing product recommendations e.g. suggest similar products
SubType of:
dpv:ProvidePersonalisedRecommendations
Created:
2019-04-05
Modified:
2022-10-14
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
See Also:
svpu:Marketing
IRI
https://w3id.org/dpv#PublicRelations
Term:
PublicRelations
Label:
Public Relations
Description:
Purposes associated with managing and conducting public relations processes, including creating goodwill for the organisation
SubType of:
dpv:Marketing
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#RecordManagement
Term:
RecordManagement
Label:
Record Management
Description:
Purposes associated with manage creation, storage, and use of records relevant to operations, events, and processes e.g. to store logs or access requests
SubType of:
dpv:Purpose
Note:
This purpose relates specifiaclly for record creation and management. This can be combined or used along with other purposes to express intentions such as records for legal compliance or vendor payments.
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#RepairImpairments
Term:
RepairImpairments
Label:
Repair Impairments
Description:
Purposes associated with identifying, rectifying, or otherwise undertaking activities intended to fix or repair impairments to existing functionalities
SubType of:
dpv:ServiceProvision
Note:
An example of identifying and rectifying impairments is the process of finding and fixing errors in products, commonly referred to as debugging
Created:
2022-08-24
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#RequestedServiceProvision
Term:
RequestedServiceProvision
Label:
Requested Service Provision
Description:
Purposes associated with delivering services as requested by user or consumer
SubType of:
dpv:ServiceProvision
Note:
The use of 'request' here includes where an user explicitly asks for the service and also when an established contract requires the provision of the service
Created:
2021-09-08
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ResearchAndDevelopment
Term:
ResearchAndDevelopment
Label:
Research and Development
Description:
Purposes associated with conducting research and development for new methods, products, or services
SubType of:
dpv:Purpose
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#SearchFunctionalities
Term:
SearchFunctionalities
Label:
Search Functionalities
Description:
Purposes associated with providing searching, querying, or other forms of information retrieval related functionalities
SubType of:
dpv:ServiceProvision
Created:
2022-11-09
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#Sector
Term:
Sector
Label:
Sector
Description:
Sector describes the area of application or domain that indicates or restricts scope for interpretation and application of purpose e.g. Agriculture, Banking
Note:
There are various sector codes used commonly to indicate the domain of an organisation or business. Examples include NACE (EU), ISIC (UN), SIC and NAICS (USA).
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
Examples:
dex:E0010 - Using NACE codes to restrict Purposes
IRI
https://w3id.org/dpv#SellDataToThirdParties
Term:
SellDataToThirdParties
Label:
Sell Data to Third Parties
Description:
Purposes associated with selling or sharing data or information to third parties
SubType of:
dpv:SellProducts
Note:
Sell here means exchange, submit, or provide in return for direct or indirect compensation. Was subclass of commercial interest, changed to reflect selling something
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#SellInsightsFromData
Term:
SellInsightsFromData
Label:
Sell Insights from Data
Description:
Purposes associated with selling or sharing insights obtained from analysis of data
SubType of:
dpv:SellProducts
Note:
Sell here means exchange, submit, or provide in return for direct or indirect compensation. Was subclass of commercial interest, changed to reflect selling something
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#SellProducts
Term:
SellProducts
Label:
Sell Products
Description:
Purposes associated with selling products or services
SubType of:
dpv:ServiceProvision
Note:
Sell here means exchange, submit, or provide in return for direct or indirect compensation.
Created:
2021-09-08
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SellProductsToDataSubject
Term:
SellProductsToDataSubject
Label:
Sell Products to Data Subject
Description:
Purposes associated with selling products or services to the user, consumer, or data subjects
SubType of:
dpv:SellProducts
Note:
Sell Products here refers to processing necessary to provide and complete a sale to customers. It should not be confused with providing services with a cost based on an established agreement.
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#ServiceOptimisation
Term:
ServiceOptimisation
Label:
Service Optimisation
Description:
Purposes associated with optimisation of services or activities
SubType of:
dpv:ServiceProvision
Note:
Subclass of ServiceProvision since optimisation is usually considered part of providing services
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#ServicePersonalisation
Term:
ServicePersonalisation
Label:
Service Personalisation
Description:
Purposes associated with providing personalisation within services or product or activities
SubType of:
dpv:Personalisation ,
dpv:ServiceProvision
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#ServiceProvision
Term:
ServiceProvision
Label:
Service Provision
Description:
Purposes associated with providing service or product or activities
SubType of:
dpv:Purpose
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
Examples:
dex:E0018 - Notice used in an activity
IRI
https://w3id.org/dpv#ServiceRegistration
Term:
ServiceRegistration
Label:
Service Registration
Description:
Purposes associated with registering users and collecting information required for providing a service
SubType of:
dpv:ServiceProvision
Note:
An example of service registration is to provide a form that collects information such as preferred language or media format for downloading a movie
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ServiceUsageAnalytics
Term:
ServiceUsageAnalytics
Label:
Service Usage Analytics
Description:
Purposes associated with conducting analysis and reporting related to usage of services or products
SubType of:
dpv:ServiceProvision
Note:
Was "UsageAnalytics", prefixed with Service to better reflect scope
Created:
2020-11-04
Modified:
2022-10-05
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#TargetedAdvertising
Term:
TargetedAdvertising
Label:
Targeted Advertising
Description:
Purposes associated with creating and providing pesonalised advertisement where the personalisation is targeted to a specific individual or group of individuals
SubType of:
dpv:PersonalisedAdvertising
Created:
2022-03-30
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#TechnicalServiceProvision
Term:
TechnicalServiceProvision
Label:
Technical Service Provision
Description:
Purposes associated with managing and providing technical processes and functions necessary for delivering services
SubType of:
dpv:ServiceProvision
Created:
2021-09-08
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#UserInterfacePersonalisation
Term:
UserInterfacePersonalisation
Label:
User Interface Personalisation
Description:
Purposes associated with personalisation of interfaces presented to the user
SubType of:
dpv:ServicePersonalisation
Note:
Examples of user-interface personalisation include changing the language to match the locale
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
IRI
https://w3id.org/dpv#VendorManagement
Term:
VendorManagement
Label:
Vendor Management
Description:
Purposes associated with manage orders, payment, evaluation, and prospecting related to vendors
SubType of:
dpv:Purpose
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#VendorPayment
Term:
VendorPayment
Label:
Vendor Payment
Description:
Purposes associated with managing payment of vendors
SubType of:
dpv:VendorManagement
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#VendorRecordsManagement
Term:
VendorRecordsManagement
Label:
Vendor Records Management
Description:
Purposes associated with managing records and orders related to vendors
SubType of:
dpv:VendorManagement
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#VendorSelectionAssessment
Term:
VendorSelectionAssessment
Label:
Vendor Selection Assessment
Description:
Purposes associated with managing selection, assessment, and evaluation related to vendors
SubType of:
dpv:VendorManagement
Source:
Belgian DPA ROPA Template
Created:
2021-09-01
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
has purpose
|
has sector
|
IRI
https://w3id.org/dpv#hasPurpose
Term:
hasPurpose
Label:
has purpose
Description:
Indicates association with Purpose
Domain:
dpv:Concept
Range:
dpv:Purpose
Source:
SPECIAL Project
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Bud Bruegger,
Harshvardhan J. Pandit,
Javier Fernández,
Mark Lizar
IRI
https://w3id.org/dpv#hasSector
Term:
hasSector
Label:
has sector
Description:
Indicates the purpose is associated with activities in the indicated (Economic) Sector(s)
Domain:
dpv:Concept
Range:
dpv:Sector
Created:
2019-04-05
Figure 4
DPV’s taxonomy of processing concepts reflects the variety of terms used to denote processing activities or operations involving personal data, such as those from [GDPR] Article.4-2 definition of processing. Real-world use of terms associated with processing rarely uses this same wording or terms, except in cases of specific domains and in legal documentation. On the other hand, common terms associated with processing are generally restricted to: collect, use, store, share, and delete.
DPV provides a taxonomy that aligns both the legal terminologies such as those defined by GDPR with those commonly used. For this, concepts are organised based on whether they subsume other concepts, e.g. Use is a broad concept indicating data is used, which DPV extends to define specific processing concepts for Analyse, Consult, Profiling, and Retrieving. Through this mechanism, whenever an use-case indicates it consults some data, it can be inferred that it also uses that data.
For concepts related to expressing contextual information associated with processing, such as storage conditions, automation, scale, see Processing Context and Processing Scale sections.
Access
|
Acquire
|
Adapt
|
Align
|
Alter
|
Analyse
|
Anonymise
|
Assess
|
Collect
|
Combine
|
Consult
|
Copy
|
Derive
|
Destruct
|
Disclose
|
Disclose by Transmission
|
Disseminate
|
Erase
|
Filter
|
Generate
|
Infer
|
Make Available
|
Match
|
Modify
|
Monitor
|
Move
|
Observe
|
Obtain
|
Organise
|
Processing
|
Profiling
|
Pseudonymise
|
Query
|
Record
|
Remove
|
Restrict
|
Retrieve
|
Screen
|
Share
|
Store
|
Structure
|
Transfer
|
Transform
|
Transmit
|
Use
|
IRI
https://w3id.org/dpv#Access
Term:
Access
Label:
Access
Description:
to access data
SubType of:
dpv:Use
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Acquire
Term:
Acquire
Label:
Acquire
Description:
to come into possession or control of the data
SubType of:
dpv:Obtain
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Adapt
Term:
Adapt
Label:
Adapt
Description:
to modify the data, often rewritten into a new form for a new use
SubType of:
dpv:Transform
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Align
Term:
Align
Label:
Align
Description:
to adjust the data to be in relation to another data
SubType of:
dpv:Transform
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Alter
Term:
Alter
Label:
Alter
Description:
to change the data without changing it into something else
SubType of:
dpv:Transform
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Analyse
Term:
Analyse
Label:
Analyse
Description:
to study or examine the data in detail
SubType of:
dpv:Use
Source:
SPECIAL Project
Created:
2019-05-07
See Also:
svpr:Analyse
IRI
https://w3id.org/dpv#Anonymise
Term:
Anonymise
Label:
Anonymise
Description:
to irreversibly alter personal data in such a way that an unique data subject can no longer be identified directly or indirectly or in combination with other data
SubType of:
dpv:Transform
Source:
SPECIAL Project
Created:
2019-05-07
See Also:
svpr:Anonymise
IRI
https://w3id.org/dpv#Assess
Term:
Assess
Label:
Assess
Description:
to assess data for some criteria
SubType of:
dpv:Use
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Copy
Term:
Copy
Label:
Copy
Description:
to produce an exact reprodution of the data
SubType of:
dpv:Processing
Source:
SPECIAL Project
Created:
2019-05-07
See Also:
svpr:Copy
IRI
https://w3id.org/dpv#Destruct
Term:
Destruct
Label:
Destruct
Description:
to process data in a way it no longer exists or cannot be repaired
SubType of:
dpv:Remove
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Disclose
Term:
Disclose
Label:
Disclose
Description:
to make data known
SubType of:
dpv:Processing
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#DiscloseByTransmission
Term:
DiscloseByTransmission
Label:
Disclose by Transmission
Description:
to disclose data by means of transmission
SubType of:
dpv:Disclose
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Disseminate
Term:
Disseminate
Label:
Disseminate
Description:
to spread data throughout
SubType of:
dpv:Disclose
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Erase
Term:
Erase
Label:
Erase
Description:
to delete data
SubType of:
dpv:Remove
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Filter
Term:
Filter
Label:
Filter
Description:
to filter or keep data for some criteria
SubType of:
dpv:Transform
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Generate
Term:
Generate
Label:
Generate
Description:
to generate or create data
SubType of:
dpv:Obtain
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Infer
Term:
Infer
Label:
Infer
Description:
to infer data from existing data
SubType of:
dpv:Derive
Note:
Infer indicates data that is derived without it being present or obtainable from existing data. For data that is presented, and is 'extracted' or 'obtained' from existing data, see Derive.
Created:
2022-04-20
Modified:
2022-10-14
Contributor(s):
Harshvardhan J. Pandit
Examples:
dex:E0014 - Derivation and inference of personal data
IRI
https://w3id.org/dpv#MakeAvailable
Term:
MakeAvailable
Label:
Make Available
Description:
to transform or publish data to be used
SubType of:
dpv:Disclose
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Match
Term:
Match
Label:
Match
Description:
to combine, compare, or match data from different sources
SubType of:
dpv:Use
Source:
A29WP WP 248 rev.01 Guideliens on DPIA
Created:
2022-04-20
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Modify
Term:
Modify
Label:
Modify
Description:
to modify or change data
SubType of:
dpv:Alter
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Monitor
Term:
Monitor
Label:
Monitor
Description:
to monitor data for some criteria
SubType of:
dpv:Consult
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Move
Term:
Move
Label:
Move
Description:
to move data from one location to another including deleting the original copy
SubType of:
dpv:Transfer
Source:
SPECIAL Project
Created:
2019-05-07
See Also:
svpr:Move
IRI
https://w3id.org/dpv#Observe
Term:
Observe
Label:
Observe
Description:
to obtain data through observation
SubType of:
dpv:Obtain
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Obtain
Term:
Obtain
Label:
Obtain
Description:
to solicit or gather data from someone
SubType of:
dpv:Processing
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Organise
Term:
Organise
Label:
Organise
Description:
to organize data for arranging or classifying
SubType of:
dpv:Processing
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Profiling
Term:
Profiling
Label:
Profiling
Description:
to create a profile that describes or represents a person
SubType of:
dpv:Use
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Pseudonymise
Term:
Pseudonymise
Label:
Pseudonymise
Description:
to replace personal identifiable information by artificial identifiers
SubType of:
dpv:Transform
Source:
GDPR Art.4-2
Created:
2019-05-07
Contributor(s):
2022-10-14
IRI
https://w3id.org/dpv#Query
Term:
Query
Label:
Query
Description:
to query or make enquiries over data
SubType of:
dpv:Consult
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Record
Term:
Record
Label:
Record
Description:
to make a record (especially media)
SubType of:
dpv:Obtain
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Remove
Term:
Remove
Label:
Remove
Description:
to destruct or erase data
SubType of:
dpv:Processing
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Restrict
Term:
Restrict
Label:
Restrict
Description:
to apply a restriction on the processsing of specific records
SubType of:
dpv:Transform
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Retrieve
Term:
Retrieve
Label:
Retrieve
Description:
to retrieve data, often in an automated manner
SubType of:
dpv:Use
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Screen
Term:
Screen
Label:
Screen
Description:
to remove data for some criteria
SubType of:
dpv:Transform
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Share
Term:
Share
Label:
Share
Description:
to give data (or a portion of it) to others
SubType of:
dpv:Disclose
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Store
Term:
Store
Label:
Store
Description:
to keep data for future use
SubType of:
dpv:Processing
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Structure
Term:
Structure
Label:
Structure
Description:
to arrange data according to a structure
SubType of:
dpv:Organise
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Transmit
Term:
Transmit
Label:
Transmit
Description:
to send out data
SubType of:
dpv:Disclose
Source:
GDPR Art.4-2
Created:
2019-05-07
IRI
https://w3id.org/dpv#Use
Term:
Use
Label:
Use
Description:
to use data
SubType of:
dpv:Processing
Source:
GDPR Art.4-2
Created:
2019-05-07
has processing
|
IRI
https://w3id.org/dpv#hasProcessing
Term:
hasProcessing
Label:
has processing
Description:
Indicates association with Processing
Domain:
dpv:Concept
Range:
dpv:Processing
Source:
SPECIAL Project
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Bud Bruegger,
Harshvardhan J. Pandit,
Javier Fernández,
Mark Lizar
Figure 5
DPV provides the concept PersonalData and the relation hasPersonalData to indicate what categories or instances of personal data are being processed. The DPV specification only provides a structure for describing personal data, e.g. as being sensitive. For specific categories of personal data for use-cases, DPV-PD: Extension providing Personal Data Categories provides additional concepts that extend the DPV's personal data taxonomy. This separation is to enable adopters to decide whether the extension's concepts are useful to them, or to use other external vocabularies, or define their own.
In addition to Personal Data , there may be a need to represent Non-Personal Data within the same contextual use-cases. For this, DPV provides the concepts Data , NonPersonalData and SyntheticData .
To indicate data categorised based on DataSource , e.g. as "collected personal data", DPV provides: CollectedPersonalData , DerivedPersonalData , InferredPersonalData , GeneratedPersonalData , and ObservedPersonalData .
For indicating personal data which is sensitive, the concept SensitivePersonalData is provided. For indicating special categories of data, the concept SpecialCategoryPersonalData is provided. In this, the concept sensitive indicates that the data needs additional considerations (and perhaps caution) when processing, such as by increasing its security, reducing usage, or performing impact assessments. Special categories , by contrast, are a 'special' type of sensitive personal data requiring additional considerations or obligations defined in laws (or through other forms) that regulate how they should be used or prohibit their use until specific obligations are met.
To specify data is anonymised, DPV provides two concepts. AnonymisedData for when data is completely anonymised and cannot be de-anonymised, which is a subtype of NonPersonalData . And, PseudonymisedData for when data has only been partially anonymised or de-anonymisation is possible, which is a subtype of PersonalData .
Anonymised Data
|
Collected Personal Data
|
Data
|
Derived Personal Data
|
Generated Personal Data
|
Incorrect Data
|
Inferred Personal Data
|
Non-Personal Data
|
Observed Personal Data
|
Personal Data
|
Pseudonymised Data
|
Sensitive Personal Data
|
Special Category Personal Data
|
Synthetic Data
|
Unverified Data
|
Verified Data
|
IRI
https://w3id.org/dpv#AnonymisedData
Term:
AnonymisedData
Label:
Anonymised Data
Description:
Personal Data that has been (fully and completely) anonymised so that it is no longer considered Personal Data
SubType of:
dpv:NonPersonalData
Note:
It is advised to carefully consider indicating data is fully or completely anonymised by determining whether the data by itself or in combination with other data can identify a person. Failing this condition, the data should be denoted as PseudonymisedData. To indicate data is anonymised only for a specified entity (e.g. within an organisation), the concept ContextuallyAnonymisedData (as subclass of PseudonymisedData) should be used instead of AnonymisedData.
Created:
2022-01-19
Contributor(s):
Piero Bonatti
IRI
https://w3id.org/dpv#CollectedPersonalData
Term:
CollectedPersonalData
Label:
Collected Personal Data
Description:
Personal Data that has been collected from another source such as the Data Subject
SubType of:
dpv:PersonalData
Note:
To indicate the source of data, use the DataSource concept with the hasDataSource relation
Created:
2022-03-30
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Data
Term:
Data
Label:
Data
Description:
A broad concept representing 'data' or 'information'
Created:
2022-01-19
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DerivedPersonalData
Term:
DerivedPersonalData
Label:
Derived Personal Data
Description:
Personal Data that is obtained or derived from other data
SubType of:
dpv:PersonalData
Note:
Derived Data is data that is obtained through processing of existing data, e.g. deriving first name from full name. To indicate data that is derived but which was not present or evident within the source data, InferredPersonalData should be used.
Source:
DPVCG
Created:
2019-05-07
Modified:
2022-01-19
Contributor(s):
Elmar Kiesling; Harshvardhan J. Pandit,
Fajar Ekaputra
See Also:
svd:Derived
IRI
https://w3id.org/dpv#GeneratedPersonalData
Term:
GeneratedPersonalData
Label:
Generated Personal Data
Description:
Personal Data that is generated or brought into existence without relation to existing data i.e. it is not derived or inferred from other data
SubType of:
dpv:PersonalData
Note:
Generated Data is used to indicate data that is produced and is not derived or inferred from other data
Created:
2022-03-30
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#IncorrectData
Term:
IncorrectData
Label:
Incorrect Data
Description:
Data that is known to be incorrect or inconsistent with some quality requirements
SubType of:
dpv:Data
Created:
2022-11-02
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#InferredPersonalData
Term:
InferredPersonalData
Label:
Inferred Personal Data
Description:
Personal Data that is obtained through inference from other data
SubType of:
dpv:DerivedPersonalData ,
dpv:GeneratedPersonalData
Note:
Inferred Data is derived data generated from existing data, but which did not originally exist within it, e.g. inferring demographics from browsing history.
Created:
2022-01-19
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NonPersonalData
Term:
NonPersonalData
Label:
Non-Personal Data
Description:
Data that is not Personal Data
SubType of:
dpv:Data
Note:
The term NonPersonalData is provided to distinguish between PersonalData and other data, e.g. for indicating which data is regulated by privacy laws. To specify personal data that has been anonymised, the concept AnonymisedData should be used.
Created:
2022-01-19
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ObservedPersonalData
Term:
ObservedPersonalData
Label:
Observed Personal Data
Description:
Personal Data that has been collected through observation of the Data Subject(s)
SubType of:
dpv:CollectedPersonalData
Created:
2022-08-24
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#PersonalData
Term:
PersonalData
Label:
Personal Data
Description:
Data directly or indirectly associated or related to an individual.
SubType of:
dpv:Data
Note:
This definition of personal data encompasses the concepts used in GDPR Art.4-1 for 'personal data' and ISO/IEC 2700 for 'personally identifiable information (PII)'.
Source:
GDPR Art.4-1
Created:
2019-04-05
Modified:
2022-01-19
Contributor(s):
Harshvardhan Pandit
See Also:
spl:AnyData
IRI
https://w3id.org/dpv#PseudonymisedData
Term:
PseudonymisedData
Label:
Pseudonymised Data
Description:
Personal Data that has undergone a pseudonymisation process or a partial (incomplete) anonymisation process such that it is still considered Personal Data
SubType of:
dpv:PersonalData
Created:
2022-01-19
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SensitivePersonalData
Term:
SensitivePersonalData
Label:
Sensitive Personal Data
Description:
Personal data that is considered 'sensitive' in terms of privacy and/or impact, and therefore requires additional considerations and/or protection
SubType of:
dpv:PersonalData
Note:
Sensitivity' is a matter of context, and may be defined within legal frameworks. For GDPR, Special categories of personal data are considered a subset of sensitive data. To illustrate the difference between the two, consider the situation where Location data is collected, and which is considered 'sensitive' but not 'special'. As a probable rule, sensitive data require additional considerations whereas special category data requires additional legal basis / justifications.
Created:
2022-01-19
Contributor(s):
Harshvardhan J. Pandit
Examples:
dex:E0015 - Indicating personal data is sensitive or special category
IRI
https://w3id.org/dpv#SpecialCategoryPersonalData
Term:
SpecialCategoryPersonalData
Label:
Special Category Personal Data
Description:
Sensitive Personal Data whose use requires specific legal permission or justification
SubType of:
dpv:SensitivePersonalData
Note:
The term 'special category' is based on GDPR Art.9, but should not be considered as exlusive to it. DPV considers all Special Categories to also be Sensitive, but whose use is either prohibited or regulated and therefore requires additional legal basis for justification.
Source:
GDPR Art.9-1
Created:
2019-05-07
Modified:
2022-01-19
Contributor(s):
Elmar Kiesling; Harshvardhan J. Pandit,
Fajar Ekaputra
Examples:
dex:E0015 - Indicating personal data is sensitive or special category
IRI
https://w3id.org/dpv#SyntheticData
Term:
SyntheticData
Label:
Synthetic Data
Description:
Synthetic data reffers to artificially created data such that it is intended to resemble real data (personal or non-personal), but does not refer to any specific identified or identifiable individual, or to the real measure of an observable parameter in the case of non-personal data
SubType of:
dpv:Data
Source:
ENISA Data Protection Engineering
Created:
2022-08-18
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#UnverifiedData
Term:
UnverifiedData
Label:
Unverified Data
Description:
Data that has not been verified in terms of accuracy, inconsistency, or quality
SubType of:
dpv:Data
Created:
2022-11-02
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#VerifiedData
Term:
VerifiedData
Label:
Verified Data
Description:
Data that has been verified in terms of accuracy, inconsistency, or quality
SubType of:
dpv:Data
Created:
2022-11-02
Contributor(s):
Harshvardhan J. Pandit
has data
|
has personal data
|
IRI
https://w3id.org/dpv#hasData
Term:
hasData
Label:
has data
Description:
Indicates associated with Data (may or may not be personal)
Domain:
dpv:Concept
Range:
dpv:Data
Created:
2022-08-18
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasPersonalData
Term:
hasPersonalData
Label:
has personal data
Description:
Indicates association with Personal Data
Domain:
dpv:Concept
Range:
dpv:PersonalData
Created:
2022-01-19
Contributor(s):
Harshvardhan J. Pandit
Figure 6 Overview of Technical & Organisational Measures taxonomy in DPV (click to open in new window)
DPV's taxonomy of tech/org measures are structured into two groups representing and TechnicalMeasure and OrganisationalMeasure along with specific properties for each. Each term has a dedicated taxonomy that expands upon the core idea to provide a rich list of technial and organisational measures that are intended to protect personal data (and its associated entities and consequences).
This taxonomy also includes relations that are associated with measures, such as hasNotice or hasPolicy , which are generic and can be applied to other contexts (e.g. notice for consent, policy for data storage).
has notice
|
has organisational measure
|
has policy
|
has technical measure
|
has technical and organisational measure
|
is policy for
|
IRI
https://w3id.org/dpv#hasNotice
Term:
hasNotice
Label:
has notice
Description:
Indicates the use or applicability of a Notice for the specified context
Domain:
dpv:Concept
Range:
dpv:Notice
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#hasOrganisationalMeasure
Term:
hasOrganisationalMeasure
Label:
has organisational measure
Description:
Indicates use or applicability of Organisational measure
Domain:
dpv:Concept
Range:
dpv:OrganisationalMeasure
Created:
2022-02-09
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasPolicy
Term:
hasPolicy
Label:
has policy
Description:
Indicates policy applicable or used
Domain:
dpv:Concept
Range:
dpv:Policy
Created:
2022-01-26
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasTechnicalMeasure
Term:
hasTechnicalMeasure
Label:
has technical measure
Description:
Indicates use or applicability of Technical measure
Domain:
dpv:Concept
Range:
dpv:TechnicalMeasure
Created:
2022-02-09
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasTechnicalOrganisationalMeasure
Term:
hasTechnicalOrganisationalMeasure
Label:
has technical and organisational measure
Description:
Indicates use or applicability of Technical or Organisational measure
Domain:
dpv:Concept
Range:
dpv:TechnicalOrganisationalMeasure
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Bud Bruegger,
Harshvardhan J. Pandit,
Javier Fernández,
Mark Lizar
IRI
https://w3id.org/dpv#isPolicyFor
Term:
isPolicyFor
Label:
is policy for
Description:
Indicates the context or application of policy
Domain:
dpv:Policy
Range:
dpv:Concept
Created:
2022-01-26
Contributor(s):
Harshvardhan J. Pandit
Figure 7 Overview of Technical Measures taxonomy in DPV (click to open in new window)
Access Control Method
|
Activity Monitoring
|
Anonymisation
|
Asymmetric Cryptography
|
Asymmetric Encryption
|
Authentication using ABC
|
Authentication using PABC
|
Authentication Protocols
|
Authorisation Protocols
|
Biometric Authentication
|
Cryptographic Authentication
|
Cryptographic Key Management
|
Cryptographic Methods
|
Data Backup Protocols
|
Data Redaction
|
Data Sanitisation Technique
|
De-Identification
|
Deterministic Pseudonymisation
|
Differential Privacy
|
Digital Rights Management
|
Digital Signatures
|
Distributed System Security
|
Document Randomised Pseudonymisation
|
Document Security
|
Encryption
|
Encryption at Rest
|
Encryption in Transfer
|
Encryption in Use
|
End-to-End Encryption (E2EE)
|
File System Security
|
Fully Randomised Pseudonymisation
|
Hardware Security Protocols
|
Hash Functions
|
Hash-based Message Authentication Code (HMAC)
|
Homomorphic Encryption
|
Information Flow Control
|
Intrusion Detection System
|
Message Authentication Codes (MAC)
|
Mobile Platform Security
|
Monotonic Counter Pseudonymisation
|
Multi-Factor Authentication (MFA)
|
Network Proxy Routing
|
Network Security Protocols
|
Operating System Security
|
Password Authentication
|
Penetration Testing Methods
|
Physical Access Control Method
|
Post-Quantum Cryptography
|
Privacy Preserving Protocol
|
Private Information Retrieval
|
Pseudonymisation
|
Quantum Cryptography
|
RNG Pseudonymisation
|
Secret Sharing Schemes
|
Secure Multi-Party Computation
|
Security Method
|
Single Sign On
|
Symmetric Cryptography
|
Symmetric Encryption
|
Trusted Computing
|
Trusted Execution Environments
|
Usage Control
|
Use of Synthetic Data
|
Virtualisation Security
|
Vulnerability Testing Methods
|
WebBrowser Security
|
Web Security Protocols
|
Wireless Security Protocols
|
Zero Knowledge Authentication
|
IRI
https://w3id.org/dpv#ActivityMonitoring
Term:
ActivityMonitoring
Label:
Activity Monitoring
Description:
Monitoring of activities including assessing whether they have been successfully initiated and completed
SubType of:
dpv:TechnicalMeasure
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Anonymisation
Term:
Anonymisation
Label:
Anonymisation
Description:
Anonymisation is the process by which data is irreversibly altered in such a way that a data subject can no longer be identified directly or indirectly, either by the entity holding the data alone or in collaboration with other entities and information sources
SubType of:
dpv:Deidentification
Source:
ISO 29100:2011
Created:
2019-04-05
Modified:
2022-11-24
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#Authentication-ABC
Term:
Authentication-ABC
Label:
Authentication using ABC
Description:
Use of Attribute Based Credentials (ABC) to perform and manage authentication
SubType of:
dpv:CryptographicAuthentication
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Authentication-PABC
Term:
Authentication-PABC
Label:
Authentication using PABC
Description:
Use of Privacy-enhacing Attribute Based Credentials (ABC) to perform and manage authentication
SubType of:
dpv:CryptographicAuthentication
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AuthenticationProtocols
Term:
AuthenticationProtocols
Label:
Authentication Protocols
Description:
Protocols involving validation of identity i.e. authentication of a person or information
SubType of:
dpv:TechnicalMeasure
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#AuthorisationProtocols
Term:
AuthorisationProtocols
Label:
Authorisation Protocols
Description:
Protocols involving authorisation of roles or profiles to determine permission, rights, or privileges
SubType of:
dpv:TechnicalMeasure
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CryptographicKeyManagement
Term:
CryptographicKeyManagement
Label:
Cryptographic Key Management
Description:
Management of cryptographic keys, including their generation, storage, assessment, and safekeeping
SubType of:
dpv:CryptographicMethods
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataBackupProtocols
Term:
DataBackupProtocols
Label:
Data Backup Protocols
Description:
Protocols or plans for backing up of data
SubType of:
dpv:TechnicalMeasure
Created:
2022-06-15
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#DataRedaction
Term:
DataRedaction
Label:
Data Redaction
Description:
Removal of sensitive information from a data or document
SubType of:
dpv:DataSanitisationTechnique
Created:
2020-10-01
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataSanitisationTechnique
Term:
DataSanitisationTechnique
Label:
Data Sanitisation Technique
Description:
Cleaning or any removal or re-organisation of elements in data based on selective criteria
SubType of:
dpv:TechnicalMeasure
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Deidentification
Term:
Deidentification
Label:
De-Identification
Description:
Removal of identity or information to reduce identifiability
SubType of:
dpv:DataSanitisationTechnique
Source:
NISTIR 8053
Created:
2019-04-05
Modified:
2022-11-24
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#DifferentialPrivacy
Term:
DifferentialPrivacy
Label:
Differential Privacy
Description:
Utilisation of differential privacy where information is shared as patterns or groups to withold individual elements
SubType of:
dpv:CryptographicMethods
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DocumentRandomisedPseudonymisation
Term:
DocumentRandomisedPseudonymisation
Label:
Document Randomised Pseudonymisation
Description:
Use of randomised pseudonymisation where the same elements are assigned different values in the same document or database
SubType of:
dpv:Pseudonymisation
Source:
ENISA Data Pseudonymisation: Advanced Techniques and Use Cases
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#EncryptionAtRest
Term:
EncryptionAtRest
Label:
Encryption at Rest
Description:
Encryption of data when being stored (persistent encryption)
SubType of:
dpv:Encryption
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#EncryptionInTransfer
Term:
EncryptionInTransfer
Label:
Encryption in Transfer
Description:
Encryption of data in transit e.g. when being transferred from one location to another, including sharing
SubType of:
dpv:Encryption
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#EncryptionInUse
Term:
EncryptionInUse
Label:
Encryption in Use
Description:
Encryption of data when it is being used
SubType of:
dpv:Encryption
Created:
2022-10-22
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#EndToEndEncryption
Term:
EndToEndEncryption
Label:
End-to-End Encryption (E2EE)
Description:
Encrypted communications where data is encrypted by the sender and decrypted by the intended receiver to prevent access to any third party
SubType of:
dpv:Encryption
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#FullyRandomisedPseudonymisation
Term:
FullyRandomisedPseudonymisation
Label:
Fully Randomised Pseudonymisation
Description:
Use of randomised pseudonymisation where the same elements are assigned different values each time they occur
SubType of:
dpv:Pseudonymisation
Source:
ENISA Data Pseudonymisation: Advanced Techniques and Use Cases
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HashMessageAuthenticationCode
Term:
HashMessageAuthenticationCode
Label:
Hash-based Message Authentication Code (HMAC)
Description:
Use of HMAC where message authentication code (MAC) utilise a cryptographic hash function and a secret cryptographic key
SubType of:
dpv:CryptographicAuthentication
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#IntrusionDetectionSystem
Term:
IntrusionDetectionSystem
Label:
Intrusion Detection System
Description:
Use of measures to detect intrusions and other unauthorised attempts to gain access to a system
SubType of:
dpv:SecurityMethod
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MonotonicCounterPseudonymisation
Term:
MonotonicCounterPseudonymisation
Label:
Monotonic Counter Pseudonymisation
Description:
A simple pseudonymisation method where identifiers are substituted by a number chosen by a monotonic counter
SubType of:
dpv:Pseudonymisation
Source:
ENISA Data Pseudonymisation: Advanced Techniques and Use Cases
Created:
2022-08-17
Modified:
2022-10-13
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NetworkProxyRouting
Term:
NetworkProxyRouting
Label:
Network Proxy Routing
Description:
Use of network routing using proxy
SubType of:
dpv:SecurityMethod
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#PenetrationTestingMethods
Term:
PenetrationTestingMethods
Label:
Penetration Testing Methods
Description:
Use of penetration testing to identity weaknessess and vulnerabilities through simulations
SubType of:
dpv:SecurityMethod
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#PhysicalAccessControlMethod
Term:
PhysicalAccessControlMethod
Label:
Physical Access Control Method
Description:
Access control applied for physical access e.g. premises or equipement
SubType of:
dpv:AccessControlMethod
Created:
2022-06-15
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#PrivacyPreservingProtocol
Term:
PrivacyPreservingProtocol
Label:
Privacy Preserving Protocol
Description:
Use of protocols designed with the intention of provided additional guarentees regarding privacy
SubType of:
dpv:CryptographicMethods
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Pseudonymisation
Term:
Pseudonymisation
Label:
Pseudonymisation
Description:
Pseudonymisation means the processing of personal data in such a manner that the personal data can no longer be attributed to a specific data subject without the use of additional information, provided that such additional information is kept separately and is subject to technical and organisational measures to ensure that the personal data are not attributed to an identified or identifiable natural person;
SubType of:
dpv:Deidentification
Source:
GDPR Art.4-5
Created:
2019-04-05
Modified:
2022-11-24
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#SecureMultiPartyComputation
Term:
SecureMultiPartyComputation
Label:
Secure Multi-Party Computation
Description:
Use of cryptographic methods for entities to jointly compute functions without revealing inputs
SubType of:
dpv:CryptographicMethods
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SecurityMethod
Term:
SecurityMethod
Label:
Security Method
Description:
Methods that relate to creating and providing security
SubType of:
dpv:TechnicalMeasure
Created:
2022-08-24
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SingleSignOn
Term:
SingleSignOn
Label:
Single Sign On
Description:
Use of credentials or processes that enable using one set of credentials to authenticate multiple contexts.
SubType of:
dpv:AuthenticationProtocols
Created:
2020-11-04
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#TrustedExecutionEnvironments
Term:
TrustedExecutionEnvironments
Label:
Trusted Execution Environments
Description:
Use of cryptographic methods to restrict access and execution to trusted parties and code within a dedicated execution environment
SubType of:
dpv:CryptographicMethods
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#UsageControl
Term:
UsageControl
Label:
Usage Control
Description:
Management of usage, which is intended to be broader than access control and may cover trust, digital rights, or other relevant controls
SubType of:
dpv:AccessControlMethod
Source:
ENISA Reference Incident Classification Taxonomy 2018
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#UseSyntheticData
Term:
UseSyntheticData
Label:
Use of Synthetic Data
Description:
Use of synthetic data to preserve privacy, security, or other effects and side-effects
SubType of:
dpv:SecurityMethod
Source:
ENISA Data Protection Engineering
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
Figure 8 Overview of Organisational Measures taxonomy in DPV (click to open in new window)
Assessment
|
Asset Management Procedures
|
Authorisation Procedure
|
Background Checks
|
Certification
|
Certification and Seal
|
Code of Conduct
|
Compliance Monitoring
|
Consent Notice
|
Consent Record
|
Consultation
|
Consultation with Authority
|
Consultation with Data Subject
|
Consultation with Data Subject Representative
|
Consultation with DPO
|
Contractual Terms
|
Controller-Processor Agreement
|
Credential Management
|
Cybersecurity Assessment
|
Cybersecurity Training
|
Data Processing Agreement
|
Data Processing Record
|
Data Protection Training
|
Data Transfer Impact Assessment
|
Design Standard
|
Disaster Recovery Procedures
|
Data Protection Impact Assessment (DPIA)
|
Educational Training
|
Effectiveness Determination Procedures
|
Governance Procedures
|
GuidelinesPrinciple
|
Identity Management Method
|
Impact Assessment
|
Incident Management Procedures
|
Incident Reporting Communication
|
Information Security Policy
|
Joint Data Controllers Agreement
|
Legal Agreement
|
Legitimate Interest Assessment
|
Logging Policies
|
Monitoring Policies
|
Non-Disclosure Agreement (NDA)
|
Notice
|
Privacy Impact Assessment
|
Policy
|
Privacy by Default
|
Privacy by Design
|
Privacy Notice
|
Professional Training
|
Records of Activities
|
Register of Processing Activities
|
Regularity of Re-certification
|
Review Impact Assessment
|
Review Procedure
|
Risk Management Plan
|
Risk Management Policy
|
Safeguard
|
Safeguard for Data Transfer
|
Seal
|
Security Assessment
|
Security Knowledge Training
|
Security Procedure
|
Security Role Procedures
|
Staff Training
|
Sub-Processor Agreement
|
Third-Party Agreement
|
Third Party Security Procedures
|
Trusted Third Party Utilisation
|
IRI
https://w3id.org/dpv#Assessment
Term:
Assessment
Label:
Assessment
Description:
The document, plan, or process for assessment or determination towards a purpose e.g. assessment of legality or impact assessments
SubType of:
dpv:OrganisationalMeasure
Created:
2021-09-08
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AssetManagementProcedures
Term:
AssetManagementProcedures
Label:
Asset Management Procedures
Description:
Procedures related to management of assets
SubType of:
dpv:GovernanceProcedures
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AuthorisationProcedure
Term:
AuthorisationProcedure
Label:
Authorisation Procedure
Description:
Procedures for determining authorisation through permission or authority
SubType of:
dpv:OrganisationalMeasure
Note:
non-technical authorisation procedures: How is it described on an organisational level, who gets access to the data
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#BackgroundChecks
Term:
BackgroundChecks
Label:
Background Checks
Description:
Procedure where the background of an entity is assessed to identity vulnerabilities and threats due to their current or intended role
SubType of:
dpv:SecurityProcedure
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Certification
Term:
Certification
Label:
Certification
Description:
Certification mechanisms, seals, and marks for the purpose of demonstrating compliance
SubType of:
dpv:CertificationSeal
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#CertificationSeal
Term:
CertificationSeal
Label:
Certification and Seal
Description:
Certifications, seals, and marks indicating compliance to regulations or practices
SubType of:
dpv:OrganisationalMeasure
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#CodeOfConduct
Term:
CodeOfConduct
Label:
Code of Conduct
Description:
A set of rules or procedures outlining the norms and practices for conducting activities
SubType of:
dpv:GuidelinesPrinciple
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#ComplianceMonitoring
Term:
ComplianceMonitoring
Label:
Compliance Monitoring
Description:
Monitoring of compliance (e.g. internal policy, regulations)
SubType of:
dpv:GovernanceProcedures
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ConsentNotice
Term:
ConsentNotice
Label:
Consent Notice
Description:
A Notice for information provision associated with Consent
SubType of:
dpv:PrivacyNotice
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentRecord
Term:
ConsentRecord
Label:
Consent Record
Description:
A Record of Consent or Consent related activities
SubType of:
dpv:DataProcessingRecord
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Examples:
dex:E0019 - Consent record
IRI
https://w3id.org/dpv#Consultation
Term:
Consultation
Label:
Consultation
Description:
Consultation is a process of receiving feedback, advice, or opinion from an external agency
SubType of:
dpv:OrganisationalMeasure
Created:
2020-11-04
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#ConsultationWithAuthority
Term:
ConsultationWithAuthority
Label:
Consultation with Authority
Description:
Consultation with an authority or authoritative entity
SubType of:
dpv:Consultation
Created:
2020-11-04
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#ConsultationWithDataSubject
Term:
ConsultationWithDataSubject
Label:
Consultation with Data Subject
Description:
Consultation with data subject(s) or their representative(s)
SubType of:
dpv:Consultation
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ConsultationWithDataSubjectRepresentative
Term:
ConsultationWithDataSubjectRepresentative
Label:
Consultation with Data Subject Representative
Description:
Consultation with representative of data subject(s)
SubType of:
dpv:ConsultationWithDataSubject
Created:
2022-10-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ConsultationWithDPO
Term:
ConsultationWithDPO
Label:
Consultation with DPO
Description:
Consultation with Data Protection Officer(s)
SubType of:
dpv:Consultation
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ContractualTerms
Term:
ContractualTerms
Label:
Contractual Terms
Description:
Contractual terms governing data handling within or with an entity
SubType of:
dpv:LegalAgreement
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#ControllerProcessorAgreement
Term:
ControllerProcessorAgreement
Label:
Controller-Processor Agreement
Description:
An agreement outlining conditions, criteria, obligations, responsibilities, and specifics for carrying out processing of personal data between a Data Controller and a Data Processor
SubType of:
dpv:DataProcessingAgreement
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Examples:
dex:E0020 - Controller-Processor agreement dex:E0021 - Data transfer safeguards
IRI
https://w3id.org/dpv#CredentialManagement
Term:
CredentialManagement
Label:
Credential Management
Description:
Management of credentials and their use in authorisations
SubType of:
dpv:AuthorisationProcedure
Created:
2022-06-15
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#CybersecurityAssessment
Term:
CybersecurityAssessment
Label:
Cybersecurity Assessment
Description:
Assessment of cybersecurity capabilities in terms of vulnerabilities and effectiveness of controls
SubType of:
dpv:Assessment ,
dpv:SecurityAssessment
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataProcessingAgreement
Term:
DataProcessingAgreement
Label:
Data Processing Agreement
Description:
An agreement outlining conditions, criteria, obligations, responsibilities, and specifics for carrying out processing of personal data
SubType of:
dpv:LegalAgreement
Note:
For specific role-based data processing agreements, see concepts for Processors and JointDataController agreements.
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#DataProcessingRecord
Term:
DataProcessingRecord
Label:
Data Processing Record
Description:
Record of personal data processing, whether ex-ante or ex-post
SubType of:
dpv:RecordsOfActivities
Created:
2021-09-08
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataProtectionTraining
Term:
DataProtectionTraining
Label:
Data Protection Training
Description:
Training intended to increase knowledge regarding data protection
SubType of:
dpv:StaffTraining
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataTransferImpactAssessment
Term:
DataTransferImpactAssessment
Label:
Data Transfer Impact Assessment
Description:
Impact Assessment for conducting data transfers
SubType of:
dpv:ImpactAssessment
Created:
2021-09-08
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#DesignStandard
Term:
DesignStandard
Label:
Design Standard
Description:
A set of rules or guidelines outlining criterias for design
SubType of:
dpv:GuidelinesPrinciple
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#DisasterRecoveryProcedures
Term:
DisasterRecoveryProcedures
Label:
Disaster Recovery Procedures
Description:
Procedures related to management of disasters and recovery
SubType of:
dpv:GovernanceProcedures
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DPIA
Term:
DPIA
Label:
Data Protection Impact Assessment (DPIA)
Description:
A DPIA involves determining the potential and actual impact of processing activities on individuals or groups of individuals
SubType of:
dpv:ImpactAssessment
Note:
Top class: Impact Assessment, and DPIA is sub-class
Created:
2020-11-04
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#EffectivenessDeterminationProcedures
Term:
EffectivenessDeterminationProcedures
Label:
Effectiveness Determination Procedures
Description:
Procedures intended to determine effectiveness of other measures
SubType of:
dpv:Assessment
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#GovernanceProcedures
Term:
GovernanceProcedures
Label:
Governance Procedures
Description:
Procedures related to governance (e.g. organisation, unit, team, process, system)
SubType of:
dpv:OrganisationalMeasure
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#GuidelinesPrinciple
Term:
GuidelinesPrinciple
Label:
GuidelinesPrinciple
Description:
Guidelines or Principles regarding processing and operational measures
SubType of:
dpv:OrganisationalMeasure
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#ImpactAssessment
Term:
ImpactAssessment
Label:
Impact Assessment
Description:
Calculating or determining the likelihood of impact of an existing or proposed process, which can involve risks or detriments.
SubType of:
dpv:Assessment
Created:
2020-11-04
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#IncidentManagementProcedures
Term:
IncidentManagementProcedures
Label:
Incident Management Procedures
Description:
Procedures related to management of incidents
SubType of:
dpv:GovernanceProcedures
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#IncidentReportingCommunication
Term:
IncidentReportingCommunication
Label:
Incident Reporting Communication
Description:
Procedures related to management of incident reporting
SubType of:
dpv:GovernanceProcedures
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#JointDataControllersAgreement
Term:
JointDataControllersAgreement
Label:
Joint Data Controllers Agreement
Description:
An agreement outlining conditions, criteria, obligations, responsibilities, and specifics for carrying out processing of personal data between Controllers within a Joint Controllers relationship
SubType of:
dpv:DataProcessingAgreement
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#LegalAgreement
Term:
LegalAgreement
Label:
Legal Agreement
Description:
A legally binding agreement
SubType of:
dpv:OrganisationalMeasure
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#LegitimateInterestAssessment
Term:
LegitimateInterestAssessment
Label:
Legitimate Interest Assessment
Description:
Indicates an assessment regarding the use of legitimate interest as a lawful basis by the data controller
SubType of:
dpv:Assessment
Created:
2021-09-08
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#MonitoringPolicies
Term:
MonitoringPolicies
Label:
Monitoring Policies
Description:
Policy for monitoring (e.g. progress, performance)
SubType of:
dpv:GovernanceProcedures
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NDA
Term:
NDA
Label:
Non-Disclosure Agreement (NDA)
Description:
Non-disclosure Agreements e.g. preserving confidentiality of information
SubType of:
dpv:LegalAgreement
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#Notice
Term:
Notice
Label:
Notice
Description:
A notice is an artefact for providing information, choices, or controls
SubType of:
dpv:OrganisationalMeasure
Created:
2021-09-08
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
Examples:
dex:E0025 - Consent Notice
IRI
https://w3id.org/dpv#PIA
Term:
PIA
Label:
Privacy Impact Assessment
Description:
Carrying out an impact assessment regarding privacy risks
SubType of:
dpv:ImpactAssessment
Created:
2020-11-04
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#PrivacyByDefault
Term:
PrivacyByDefault
Label:
Privacy by Default
Description:
Practices regarding selecting appropriate data protection and privacy measures as the 'default' in an activity or service
SubType of:
dpv:GuidelinesPrinciple
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#PrivacyByDesign
Term:
PrivacyByDesign
Label:
Privacy by Design
Description:
Practices regarding incorporating data protection and privacy in the design of information and services
SubType of:
dpv:OrganisationalMeasure
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#RecordsOfActivities
Term:
RecordsOfActivities
Label:
Records of Activities
Description:
Records of activities within some context such as maintainence tasks or governance functions
SubType of:
dpv:OrganisationalMeasure
Created:
2021-09-08
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#RegisterOfProcessingActivities
Term:
RegisterOfProcessingActivities
Label:
Register of Processing Activities
Description:
A ROPA is a document maintained by Data Controllers detailing processing activities carried out under their responsibility
SubType of:
dpv:DataProcessingRecord
Note:
Tied to compliance processes and documents, decide how to specify those
Created:
2021-09-08
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#RegularityOfRecertification
Term:
RegularityOfRecertification
Label:
Regularity of Re-certification
Description:
Policy regarding repetition or renewal of existing certification(s)
SubType of:
dpv:OrganisationalMeasure
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#ReviewImpactAssessment
Term:
ReviewImpactAssessment
Label:
Review Impact Assessment
Description:
Procedures to review impact assessments in terms of continued validity, adequacy for intended purposes, and conformance of processes with findings
SubType of:
dpv:ImpactAssessment ,
dpv:ReviewProcedure
Created:
2022-10-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ReviewProcedure
Term:
ReviewProcedure
Label:
Review Procedure
Description:
A procedure or process that reviews the correctness and validity of other measures and processes
SubType of:
dpv:OrganisationalMeasure
Created:
2022-10-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#RiskManagementPlan
Term:
RiskManagementPlan
Label:
Risk Management Plan
Description:
A scheme within the risk management framework specifying the approach, the management components, and resources to be applied to the management of risk
SubType of:
dpv:SecurityProcedure
Source:
ISO 31073:2022
Created:
2022-08-18
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#RiskManagementPolicy
Term:
RiskManagementPolicy
Label:
Risk Management Policy
Description:
A policy or statement of the overall intentions and direction of an organisation related to risk management
SubType of:
dpv:Policy ,
dpv:SecurityProcedure
Source:
ISO 31073:2022
Created:
2022-08-18
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Safeguard
Term:
Safeguard
Label:
Safeguard
Description:
A safeguard is a precautionary measure for the protection against or mitigation of negative effects
SubType of:
dpv:OrganisationalMeasure
Note:
This concept is relevant given the requirement to assert safeguards in cross-border data transfers
Created:
2021-09-22
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#SafeguardForDataTransfer
Term:
SafeguardForDataTransfer
Label:
Safeguard for Data Transfer
Description:
Represents a safeguard used for data transfer. Can include technical or organisational measures.
SubType of:
dpv:Safeguard
Created:
2021-09-22
Contributor(s):
David Hickey,
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#Seal
Term:
Seal
Label:
Seal
Description:
A seal or a mark indicating proof of certification to some certification or standard
SubType of:
dpv:CertificationSeal
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#SecurityAssessment
Term:
SecurityAssessment
Label:
Security Assessment
Description:
Assessment of security intended to identity gaps, vulnerabilities, risks, and effectiveness of controls
SubType of:
dpv:Assessment ,
dpv:SecurityProcedure
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SecurityKnowledgeTraining
Term:
SecurityKnowledgeTraining
Label:
Security Knowledge Training
Description:
Training intended to increase knowledge regarding security
SubType of:
dpv:StaffTraining
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SecurityProcedure
Term:
SecurityProcedure
Label:
Security Procedure
Description:
Procedures associated with assessing, implementing, and evaluating security
SubType of:
dpv:OrganisationalMeasure
Created:
2022-08-24
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SecurityRoleProcedures
Term:
SecurityRoleProcedures
Label:
Security Role Procedures
Description:
Procedures related to security roles
SubType of:
dpv:SecurityProcedure
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SubProcessorAgreement
Term:
SubProcessorAgreement
Label:
Sub-Processor Agreement
Description:
An agreement outlining conditions, criteria, obligations, responsibilities, and specifics for carrying out processing of personal data between a Data Processor and a Data (Sub-)Processor
SubType of:
dpv:DataProcessingAgreement
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ThirdPartyAgreement
Term:
ThirdPartyAgreement
Label:
Third-Party Agreement
Description:
An agreement outlining conditions, criteria, obligations, responsibilities, and specifics for carrying out processing of personal data between a Data Controller or Processor and a Third Party
SubType of:
dpv:DataProcessingAgreement
Created:
2022-02-09
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ThirdPartySecurityProcedures
Term:
ThirdPartySecurityProcedures
Label:
Third Party Security Procedures
Description:
Procedures related to security associated with Third Parties
SubType of:
dpv:SecurityProcedure
Source:
ENISA 5G Cybersecurity Standards
Created:
2022-08-17
Contributor(s):
Harshvardhan J. Pandit
Figure 9 Legal Bases in DPV
DPV provides the following categories of legal bases based on [GDPR ] Article 6: consent of the data subject, contract, compliance with legal obligation, protecting vital interests of individuals, legitimate interests, public interest, and official authorities. Though derived from GDPR, these concepts can be applied for other jurisdictions and general use-cases. The legal bases are represented by the concept LegalBasis and associated using the relation hasLegalBasis .
When declaring a legal basis, it is important to denote under what law or jurisdiction that legal basis applies. For instance, using Consent as a legal basis has different obligations and requirements in EU (i.e. [GDPR ]) as compared to other jurisdictions. Therefore, unless the information is to be implicitly interpreted through some specific legal lens or jurisdictional law, DPV recommends indicating the specific law or legal clause associated with the legal basis so as to scope its interpretation. This can be done using the relation hasJurisdiction or hasApplicableLaw .
For GDPR, DPVCG provides the DPV-GDPR: Extension providing GDPR concepts which defines the legal bases within [GDPR ] by extending them from relevant concepts within the DPV. We welcome similar contributions for extending the GDPR extension as well as creating extensions for other laws and domains.
Consent
|
Contract
|
Contract Performance
|
Data Transfer Legal Basis
|
Enter Into Contract
|
Legal Basis
|
Legal Obligation
|
Legitimate Interest
|
Legitimate Interest of Controller
|
Legitimate Interest of Data Subject
|
Legitimate Interest of Third Party
|
Official Authority of Controller
|
Public Interest
|
Vital Interest
|
Vital Interest of Data Subject
|
Vital Interest of Natural Person
|
IRI
https://w3id.org/dpv#Contract
Term:
Contract
Label:
Contract
Description:
Creation, completion, fulfilment, or performance of a contract involving specified processing
SubType of:
dpv:LegalAgreement ,
dpv:LegalBasis
Created:
2021-04-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataTransferLegalBasis
Term:
DataTransferLegalBasis
Label:
Data Transfer Legal Basis
Description:
Specific or special categories and instances of legal basis intended for justifying data transfers
SubType of:
dpv:LegalBasis
Created:
2021-09-08
Contributor(s):
David Hickey,
Georg P Krogg
IRI
https://w3id.org/dpv#EnterIntoContract
Term:
EnterIntoContract
Label:
Enter Into Contract
Description:
Processing necessary to enter into contract
SubType of:
dpv:Contract
Created:
2021-04-07
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#LegalBasis
Term:
LegalBasis
Label:
Legal Basis
Description:
The Legal basis used to justify processing of personal data
Note:
Legal basis (plural: legal bases) are defined by legislations and regulations, whose applicability is usually restricted to specific jurisdictions.
Created:
2019-04-05
Modified:
2020-11-04
Contributor(s):
Axel Polleres,
Javier Fernández
Examples:
dex:E0022 - Denoting Legal Basis dex:E0023 - Consent as legal basis
IRI
https://w3id.org/dpv#LegalObligation
Term:
LegalObligation
Label:
Legal Obligation
Description:
Legal Obligation to conduct the specified processing
SubType of:
dpv:LegalBasis
Created:
2021-04-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#LegitimateInterest
Term:
LegitimateInterest
Label:
Legitimate Interest
Description:
Legitimate Interests of a Party as justification for specified processing
SubType of:
dpv:LegalBasis
Created:
2021-05-19
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#LegitimateInterestOfController
Term:
LegitimateInterestOfController
Label:
Legitimate Interest of Controller
Description:
Legitimate Interests of a Data Controller in conducting specified processing
SubType of:
dpv:LegitimateInterest
Created:
2021-05-19
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#LegitimateInterestOfDataSubject
Term:
LegitimateInterestOfDataSubject
Label:
Legitimate Interest of Data Subject
Description:
Legitimate Interests of the Data Subject in conducting specified processing
SubType of:
dpv:LegitimateInterest
Created:
2022-10-22
Contributor(s):
Georg P Krog
IRI
https://w3id.org/dpv#LegitimateInterestOfThirdParty
Term:
LegitimateInterestOfThirdParty
Label:
Legitimate Interest of Third Party
Description:
Legitimate Interests of a Third Party in conducting specified processing
SubType of:
dpv:LegitimateInterest
Created:
2021-05-19
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#OfficialAuthorityOfController
Term:
OfficialAuthorityOfController
Label:
Official Authority of Controller
Description:
Processing necessary or authorised through the official authority granted to or vested in the Data Controller
SubType of:
dpv:LegalBasis
Created:
2021-05-05
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#PublicInterest
Term:
PublicInterest
Label:
Public Interest
Description:
Processing is necessary or beneficial for interest of the public or society at large
SubType of:
dpv:LegalBasis
Created:
2021-04-21
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#VitalInterest
Term:
VitalInterest
Label:
Vital Interest
Description:
Processing is necessary or required to protect vital interests of a data subject or other natural person
SubType of:
dpv:LegalBasis
Created:
2021-04-21
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#VitalInterestOfDataSubject
Term:
VitalInterestOfDataSubject
Label:
Vital Interest of Data Subject
Description:
Processing is necessary or required to protect vital interests of a data subject
SubType of:
dpv:VitalInterestOfNaturalPerson
Created:
2021-04-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#VitalInterestOfNaturalPerson
Term:
VitalInterestOfNaturalPerson
Label:
Vital Interest of Natural Person
Description:
Processing is necessary or required to protect vital interests of a natural person
SubType of:
dpv:VitalInterest
Created:
2021-04-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
has legal basis
|
IRI
https://w3id.org/dpv#hasLegalBasis
Term:
hasLegalBasis
Label:
has legal basis
Description:
Indicates use or applicability of a Legal Basis
Domain:
dpv:Concept
Range:
dpv:LegalBasis
Created:
2019-04-04
Contributor(s):
Axel Polleres,
Javier Fernández
Figure 10
Consent in DPV is a specific legal basis representing information associated with consent rather than only given consent . Common information associated with consent includes tasks such as keeping track of whether "consent has been given/obtained", "issuing a consent request", and "withdrawing consent", as well as expressing requirements through terms such as "informed" and "explicit". To assist with representing these concepts as well as keeping records about how they are being applied, DPV provides the following consent concepts.
To indicate the duration or validity of a given consent instance, the existing contextual relation hasDuration along with specific forms of Duration can be used. For example, to indicate consent is valid until a specific event such as account closure, the duration subtype UntilEventDuration can be used with additional instantiation or annotation to indicate more details about the event (in this case the closure of account). Similarly, UntilTimeDuration indicates validity until a specific time instance or timestamp (e.g. 31 December 2022), and TemporalDuration indicates a relative time duration (e.g. 6 months). To indicate validity without an end condition, EndlessDuration can be used.
To specify consent provided by delegation, such as in the case of a parent or guardian providing consent for/with a child, the isIndicatedBy relation can be used to associate the parent or guardian responsible for providing consent (or its affirmation). Since by default the consent is presumed to be provided by the individual, when such individuals are associated with their consent, i.e. through hasDataSubject , the additional information provided by isIndicatedBy can be considered redundant and is often omitted.
Note : Deprecated concepts
Explicitly Expressed Consent
|
Expressed Consent
|
Implied Consent
|
Informed Consent
|
Uninformed Consent
|
IRI
https://w3id.org/dpv#ExplicitlyExpressedConsent
Term:
ExplicitlyExpressedConsent
Label:
Explicitly Expressed Consent
Description:
Consent that is expressed through an explicit action solely conveying a consenting decision
SubType of:
dpv:ExpressedConsent
Note:
Explicitly expressed consent is a more specific form of Expressed consent where the action taken must 'explicitly' relate to only the consent decision. Expressed consent where the consenting is part of other matters therefore cannot satisfy the requirements of explicitly expressed consent. An example of explicit action expressing the consenting decision is a button on a web form where the form only relates to consent, or it is accompanied with suitable text that reiterates what the consenting decision is about
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ExpressedConsent
Term:
ExpressedConsent
Label:
Expressed Consent
Description:
Consent that is expressed through an action intended to convey a consenting decision
SubType of:
dpv:InformedConsent
Note:
Expressed consent requires the individual take a specific and unambigious action that directly indicates their consent. This action may be a part of other processes such as setting preferences, or agreeing to a contract, or other matters not relating to consent. An example of expressed consent is interacting with a checkbox within a dashboard or clicking a button on a web form
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ImpliedConsent
Term:
ImpliedConsent
Label:
Implied Consent
Description:
Consent that is implied indirectly through an action not associated solely with conveying a consenting decision
SubType of:
dpv:InformedConsent
Note:
Implied consent is expected to also be Informed Consent. An example is a CCTV notice outside a monitored area that informs the individuals that by walking in they would be consenting to the use of camera for surveillance.
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Consent Expired
|
Consent Given
|
Consent Invalidated
|
Consent Refused
|
Consent Request Deferred
|
Consent Requested
|
Consent Revoked
|
Consent Status
|
Consent Status Invalid for Processing
|
Consent Status Valid for Processing
|
Consent Unknown
|
Consent Withdrawn
|
Renewed Consent Given
|
IRI
https://w3id.org/dpv#ConsentExpired
Term:
ConsentExpired
Label:
Consent Expired
Description:
The state where the temporal or contextual validity of consent has 'expired'
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
An example of this state is when the obtained consent has been assigned a duration - which has lapsed or 'expired', making it invalid to be used further for processing data
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentGiven
Term:
ConsentGiven
Label:
Consent Given
Description:
The state where consent has been given
Instance of:
dpv:ConsentStatusValidForProcessing
Note:
An example of this state is when the individual clicks on a button, ticks a checkbox, verbally agrees - or any other form that communicates their decision agreeing to the processing of data
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentInvalidated
Term:
ConsentInvalidated
Label:
Consent Invalidated
Description:
The state where consent has been deemed to be invalid
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
An example of this state is where an investigating authority or a court finds the collected consent did not meet requirements, and 'invalidates' both prior and future uses of it to carry out processing
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentRefused
Term:
ConsentRefused
Label:
Consent Refused
Description:
The state where consent has been refused
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
An example of this state is when the individual clicks on a 'disagree' or 'reject' or 'refuse' button, or leaves a checkbox unticked
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentRequestDeferred
Term:
ConsentRequestDeferred
Label:
Consent Request Deferred
Description:
State where a request for consent has been deferred without a decision
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
An example of this state is when the individual closes or dismisses a notice without making a decision. This state is intended for making the distinction between a notice being provided (as a consent request) and the individual interacting with the notice without making a decision - where the 'ignoring of a notice' is taken as consent being neither given nor refused
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentRequested
Term:
ConsentRequested
Label:
Consent Requested
Description:
State where a request for consent has been made and is awaiting a decision
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
An example of this state is when a notice has been presented to the individual but they have not made a decision
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentRevoked
Term:
ConsentRevoked
Label:
Consent Revoked
Description:
The state where the consent is revoked by an entity other than the data subject and which prevents it from being further used as a valid state
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
An example of this state is when a Data Controller stops utilising previously obtaining consent, such as when that service no longer exists
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentStatus
Term:
ConsentStatus
Label:
Consent Status
Description:
The state or status of 'consent' that provides information reflecting its operational status and validity for processing data
SubType of:
dpv:Status
Note:
States are useful as information artefacts to implement them in controlling processing, and to reflect the process and flow of obtaining and maintaining consent. For example, a database table that stores consent states for specific processing and can be queried to obtain them in an efficient manner. States are also useful in investigations to determine the use and validity of consenting practices
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Examples:
dex:E0019 - Consent record dex:E0024 - Details of Consent dex:E0025 - Consent Notice dex:E0026 - Using consent types
IRI
https://w3id.org/dpv#ConsentStatusInvalidForProcessing
Term:
ConsentStatusInvalidForProcessing
Label:
Consent Status Invalid for Processing
Description:
States of consent that cannot be used as valid justifications for processing data
SubType of:
dpv:ConsentStatus
Note:
This identifies the stages associated with consent that should not be used to process data
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentStatusValidForProcessing
Term:
ConsentStatusValidForProcessing
Label:
Consent Status Valid for Processing
Description:
States of consent that can be used as valid justifications for processing data
SubType of:
dpv:ConsentStatus
Note:
Practically, given consent is the only valid state for processing
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentUnknown
Term:
ConsentUnknown
Label:
Consent Unknown
Description:
State where information about consent is not available or is unknown
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
Consent states can be unknown, for example, when information is not available, or cannot be trusted, or is known to be inaccurate
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ConsentWithdrawn
Term:
ConsentWithdrawn
Label:
Consent Withdrawn
Description:
The state where the consent is withdrawn or revoked specifically by the data subject and which prevents it from being further used as a valid state
Instance of:
dpv:ConsentStatusInvalidForProcessing
Note:
This state can be considered a form of 'revocation' of consent, where the revocation can only be performed by the data subject. Therefore we suggest using ConsentRevoked when it is a non-data-subject entity, and ConsentWithdrawn when it is the data subject
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#RenewedConsentGiven
Term:
RenewedConsentGiven
Label:
Renewed Consent Given
Description:
The state where a previously given consent has been 'renewed' or 'refreshed' or 'reaffirmed' to form a new instance of given consent
Instance of:
dpv:ConsentStatusValidForProcessing
Note:
An example of this state is when a previously given consent has expired, and the individual is presented a notice regarding continuing associated processing operations - to which they agree. This state can be useful to keep track of 'reconfirmed' or 'refreshed' consent within consent records, assist notices and contextual agents to create better consenting dialogues, and assist with specific legal obligations related to subsequent consenting
Source:
GConsent
Created:
2022-06-22
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
has consent status
|
has indication method
|
is indicated at time
|
is indicated by
|
IRI
https://w3id.org/dpv#hasConsentStatus
Term:
hasConsentStatus
Label:
has consent status
Description:
Specifies the state or status of consent
Domain:
dpv:Concept
Range:
dpv:ConsentStatus
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#hasIndicationMethod
Term:
hasIndicationMethod
Label:
has indication method
Description:
Specifies the method by which an entity has indicated the specific context
Domain:
dpv:Concept
Range:
left blank / unspecified
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#isIndicatedAtTime
Term:
isIndicatedAtTime
Label:
is indicated at time
Description:
Specifies the temporal information for when the entity has indicated the specific context
Domain:
dpv:Concept
Range:
left blank / unspecified
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#isIndicatedBy
Term:
isIndicatedBy
Label:
is indicated by
Description:
Specifies entity who indicates the specific context
Domain:
dpv:Concept
Range:
dpv:Entity
Created:
2022-06-21
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Figure 11
This taxonomy provides concepts for representing information about storage conditions, e.g. how long the data will be stored for, its erasure, or its restoration. It also enables representing the source(s) of data, the use of automation, and the extent of human involvement within the automation.
The processing taxonomy uses the concept Store to indicate data is being stored. To specify additionally information such as its location, erasure or deletion, the generic concepts and relations associated with processing (i.e. location and duration ) can be used. However, to emphasise that information about storage - such as policies, conditions, rules, or documentation - are critical on considerations of data protection and privacy as well as legal compliance, DPV provide specific concepts related to these.
The concept StorageCondition and the relation hasStorageCondition represent the general or abstract conditions associated with storage of data. This is specialised to indicate StorageDuration , StorageDeletion , StorageRestoration , and StorageLocation . This enables a document to directly specify information such as: "storage duration is 6 months" or "storage restoration uses 3 geo-distinct backup servers".
For declaring the source of data, the DataSource concept along with hasDataSource relationship is provided to indicate where the data is collected or acquired from. For example, data can be obtained from the data subject directly (e.g. given via forms) or indirectly (e.g observed from activity, or inferred from existing data), or from another entity such as a third party.
DPV provides AutomationOfProcessing to represent the degree of automation, and the relation hasProcessingAutomation to associate it with contextual concepts. The degrees of automation are represented by FullyAutomatedProcessing , PartiallyAutomatedProcessing , and CompletelyManualProcessing .
To represent how humans are involved, the concept HumanInvolvement and relation hasHumanInvolvement are provided. Specific types of HumanInvolvement include HumanInvolvementForOversight , and HumanInvolvementForVerification .
To indicate more specific applications: DecisionMaking and AutomatedDecisionMaking refer to use of processing to make decisions, AlgorithmicLogic for explaining the use of algorithms and specifics of processing logic, EvaluationScoring to indicate the processing evaluates or assigns scores (or metrics), InnovativeUseOfNewTechnologies to indicate there are innovative uses of novel technologies, and SystematicMonitoring to indicate the processing performs a systematic (or systemic) monitoring. These additional concepts are intended to model areas or topics that are considered sensitive or high-risk or require caution.
Algorithmic Logic
|
Automated Decision Making
|
Automated Processing with Human Input
|
Automated Processing with Human Oversight
|
Automated Processing with Human Review
|
Automation of Processing
|
Completely Manual Processing
|
dpv:DataController
|
Data published by Data Subject
|
Data Source
|
dpv:DataSubject
|
Decision Making
|
Evaluation of Individuals
|
Evaluation and Scoring
|
Fully Automated Processing
|
Human Involvement
|
Human Involvement for Input
|
Human Involvement for Oversight
|
Human Involvement for Verification
|
Innovative Use of New Technologies
|
Non-Public Data Source
|
Partially Automated Processing
|
Processing Context
|
Public Data Source
|
Scoring of Individuals
|
Storage Condition
|
Storage Deletion
|
Storage Duration
|
Storage Location
|
Storage Restoration
|
Systematic Monitoring
|
dpv:ThirdParty
|
IRI
https://w3id.org/dpv#AlgorithmicLogic
Term:
AlgorithmicLogic
Label:
Algorithmic Logic
Description:
The algorithmic logic applied or used
SubType of:
dpv:AutomationOfProcessing
Note:
Algorithmic Logic is intended as a broad concept for explaining the use of algorithms and automated decisions making within Processing. To describe the actual algorithm, see the Algorithm concept.
Created:
2022-01-26
Modified:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AutomatedDecisionMaking
Term:
AutomatedDecisionMaking
Label:
Automated Decision Making
Description:
Processing that involves automated decision making
SubType of:
dpv:AutomationOfProcessing ,
dpv:DecisionMaking
Note:
Automated decision making can be defined as “the ability to make decisions by technological means without human involvement.” (“Guidelines on Automated individual decision-making and Profiling for the purposes of Regulation 2016/679 (wp251rev.01)”, 2018, p. 8)
Source:
GDPR Art.4-2
Created:
2020-11-04
Modified:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit,
Piero Bonatti
IRI
https://w3id.org/dpv#AutomatedProcessingWithHumanOversight
Term:
AutomatedProcessingWithHumanOversight
Label:
Automated Processing with Human Oversight
Description:
Processing that is automated and involves oversight by Humans
Instance of:
dpv:AutomationOfProcessing ,
dpv:HumanInvolvementForOversight
Note:
For example, a human watching metrics to ensure correctness of procedural values and outputs as processing takes place
Created:
2022-06-15
Modified:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AutomatedProcessingWithHumanReview
Term:
AutomatedProcessingWithHumanReview
Label:
Automated Processing with Human Review
Description:
Processing that is automated and involves review by Humans
Instance of:
dpv:AutomationOfProcessing ,
dpv:HumanInvolvementForVerification
Note:
For example, a human verifying outputs of an algorithm for correctness or impact to individuals
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#AutomationOfProcessing
Term:
AutomationOfProcessing
Label:
Automation of Processing
Description:
Contextual information about the degree of automation and human involvement associated with Processing
SubType of:
dpv:ProcessingContext
Note:
It is difficult to provide a formal definition of automation since any and all processing may be considered automation. This concept instead is intended to explicitly signal the utilisation of automation and its extent towards some context - such as decision making, and to indicate the involvement of humans.
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#CompletelyManualProcessing
Term:
CompletelyManualProcessing
Label:
Completely Manual Processing
Description:
Processing that is completely un-automated or fully manual
Instance of:
dpv:AutomationOfProcessing
Note:
For example, a human performing some processing operation
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#DataPublishedByDataSubject
Term:
DataPublishedByDataSubject
Label:
Data published by Data Subject
Description:
Data is published by the data subject
Instance of:
dpv:DataSource
Note:
This refers to where that data was made publicly available by the data subject. An example of this would be a social media profile that the data subject has made publicly accessible.
Created:
2022-08-24
Contributor(s):
Julian Flake
IRI
https://w3id.org/dpv#DataSource
Term:
DataSource
Label:
Data Source
Description:
The source or origin of data
SubType of:
dpv:ProcessingContext
Note:
Source' is the direct point of data collection; 'origin' would indicate the original/others points of where the data originates from.
Created:
2020-11-04
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit
Examples:
dex:E0012 - Data Sources dex:E0020 - Controller-Processor agreement
IRI
https://w3id.org/dpv#DecisionMaking
Term:
DecisionMaking
Label:
Decision Making
Description:
Processing that involves decision making
SubType of:
dpv:ProcessingContext
Created:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#EvaluationOfIndividuals
Term:
EvaluationOfIndividuals
Label:
Evaluation of Individuals
Description:
Processing that involves evaluation of individuals
SubType of:
dpv:EvaluationScoring
Source:
GDPR Art.4-2
Created:
2022-10-22
Modified:
2022-11-30
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#EvaluationScoring
Term:
EvaluationScoring
Label:
Evaluation and Scoring
Description:
Processing that involves evaluation and scoring of individuals
SubType of:
dpv:ProcessingContext
Source:
GDPR Art.4-2
Created:
2020-11-04
Contributor(s):
Harshvardhan J. Pandit,
Piero Bonatti
IRI
https://w3id.org/dpv#FullyAutomatedProcessing
Term:
FullyAutomatedProcessing
Label:
Fully Automated Processing
Description:
Processing that is fully automated
Instance of:
dpv:AutomationOfProcessing
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HumanInvolvement
Term:
HumanInvolvement
Label:
Human Involvement
Description:
The involvement of humans in specified context
SubType of:
dpv:AutomationOfProcessing
Note:
Human Involvement here broadly refers to any involvement by a human in the context of carrying out processing. This may include verification of outcomes, providing input data for making decisions, or overseeing activities.
Created:
2022-01-26
Modified:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HumanInvolvementForOversight
Term:
HumanInvolvementForOversight
Label:
Human Involvement for Oversight
Description:
Human involvement for the purposes of having oversight over a system, its operations, inputs, or outputs
Instance of:
dpv:HumanInvolvement
Created:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HumanInvolvementForVerification
Term:
HumanInvolvementForVerification
Label:
Human Involvement for Verification
Description:
Human involvement for the purposes of verification of a system, its operations, inputs, or outputs
Instance of:
dpv:HumanInvolvement
Created:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#InnovativeUseOfNewTechnologies
Term:
InnovativeUseOfNewTechnologies
Label:
Innovative Use of New Technologies
Description:
Processing that involves use of innovative and new technologies
SubType of:
dpv:ProcessingContext
Source:
GDPR Art.4-2
Created:
2020-11-04
Contributor(s):
Harshvardhan J. Pandit,
Piero Bonatti
IRI
https://w3id.org/dpv#NonPublicDataSource
Term:
NonPublicDataSource
Label:
Non-Public Data Source
Description:
A source of data that is not publicly accessible or available
Instance of:
dpv:DataSource
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#PartiallyAutomatedProcessing
Term:
PartiallyAutomatedProcessing
Label:
Partially Automated Processing
Description:
Processing that is partially automated or semi-automated
Instance of:
dpv:AutomationOfProcessing
Note:
For example, a series of distinct processing operations that are automated individually or have some human involvement
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ProcessingContext
Term:
ProcessingContext
Label:
Processing Context
Description:
Context or conditions within which processing takes place
SubType of:
dpv:Context
Created:
2022-02-09
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#PublicDataSource
Term:
PublicDataSource
Label:
Public Data Source
Description:
A source of data that is publicly accessible or available
Instance of:
dpv:DataSource
Note:
The term 'Public' is used here in a broad sense. Actual consideration of what is 'Public Data' can vary based on several contextual or jurisdictional factors such as definition of open, methods of access, permissions and licenses.
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#ScoringOfIndividuals
Term:
ScoringOfIndividuals
Label:
Scoring of Individuals
Description:
Processing that involves scoring of individuals
SubType of:
dpv:EvaluationScoring
Source:
GDPR Art.4-2
Created:
2022-10-22
Modified:
2022-11-30
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#StorageCondition
Term:
StorageCondition
Label:
Storage Condition
Description:
Conditions required or followed regarding storage of data
SubType of:
dpv:ProcessingContext
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
Examples:
dex:E0011 - Storage Conditions
IRI
https://w3id.org/dpv#StorageDeletion
Term:
StorageDeletion
Label:
Storage Deletion
Description:
Deletion or Erasure of data including any deletion guarantees
SubType of:
dpv:StorageCondition
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#StorageDuration
Term:
StorageDuration
Label:
Storage Duration
Description:
Duration or temporal limitation on storage of personal data
SubType of:
dpv:Duration ,
dpv:StorageCondition
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#StorageLocation
Term:
StorageLocation
Label:
Storage Location
Description:
Location or geospatial scope where the data is stored
SubType of:
dpv:Location ,
dpv:StorageCondition
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#StorageRestoration
Term:
StorageRestoration
Label:
Storage Restoration
Description:
Regularity and temporal span of data restoration/backup mechanisms that guarantee that data is preserved
SubType of:
dpv:StorageCondition
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#SystematicMonitoring
Term:
SystematicMonitoring
Label:
Systematic Monitoring
Description:
Processing that involves systematic monitoring of individuals
SubType of:
dpv:ProcessingContext
Source:
GDPR Art.4-2
Created:
2020-11-04
Contributor(s):
Harshvardhan J. Pandit,
Piero Bonatti
has algorithmic logic
|
has data source
|
has human involvement
|
has processing automation
|
has storage condition
|
IRI
https://w3id.org/dpv#hasAlgorithmicLogic
Term:
hasAlgorithmicLogic
Label:
has algorithmic logic
Description:
Indicates the logic used in processing such as for automated decision making
Domain:
dpv:Concept
Range:
dpv:AlgorithmicLogic
Created:
2020-11-04
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasDataSource
Term:
hasDataSource
Label:
has data source
Description:
Indicates the source or origin of data being processed
Domain:
dpv:Concept
Range:
dpv:DataSource
Created:
2020-11-04
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasHumanInvolvement
Term:
hasHumanInvolvement
Label:
has human involvement
Description:
Indicates Involvement of humans in processing such as within automated decision making process
Domain:
dpv:Concept
Range:
dpv:HumanInvolvement
Created:
2020-11-04
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasProcessingAutomation
Term:
hasProcessingAutomation
Label:
has processing automation
Description:
Indicates the use or extent of automation associated with processing
Domain:
dpv:Concept
Range:
dpv:AutomationOfProcessing
Created:
2022-08-13
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasStorageCondition
Term:
hasStorageCondition
Label:
has storage condition
Description:
Indicates information about storage condition
Domain:
dpv:Concept
Range:
dpv:StorageCondition
Source:
SPECIAL Project
Created:
2022-08-13
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
DPV provides (qualitative) scales for expressing Data Volume , Data subjects , and Geographical Coverage of processing. Along with these, DPV also provides a Processing Scale to express combinations of these. NOTE: The actual meaning or quantified amounts for each concept are not defined due to their interpretation based on contextual factors such as legislations, guidelines, domains, and variations across industries.
Data Subject Scale
|
Data Volume
|
Geographic Coverage
|
Global Scale
|
Huge Data Volume
|
Huge Scale Of Data Subjects
|
Large Data Volume
|
Large Scale Of Data Subjects
|
Large Scale Processing
|
Local Environment Scale
|
Locality Scale
|
Medium Data Volume
|
Medium Scale Of Data Subjects
|
Medium Scale Processing
|
Multi National Scale
|
National Scale
|
Nearly Global Scale
|
Processing Scale
|
Regional Scale
|
Scale
|
Singular Data Volume
|
Singular Scale Of Data Subjects
|
Small Data Volume
|
Small Scale Of Data Subjects
|
Small Scale Processing
|
Sporadic Data Volume
|
Sporadic Scale Of Data Subjects
|
IRI
https://w3id.org/dpv#DataSubjectScale
Term:
DataSubjectScale
Label:
Data Subject Scale
Description:
Scale of Data Subject(s)
SubType of:
dpv:Scale
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Rana Saniei
IRI
https://w3id.org/dpv#DataVolume
Term:
DataVolume
Label:
Data Volume
Description:
Volume or Scale of Data
SubType of:
dpv:Scale
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Rana Saniei
IRI
https://w3id.org/dpv#GeographicCoverage
Term:
GeographicCoverage
Label:
Geographic Coverage
Description:
Indicate of scale in terms of geographic coverage
SubType of:
dpv:Scale
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#GlobalScale
Term:
GlobalScale
Label:
Global Scale
Description:
Geographic coverage spanning the entire globe
Instance of:
dpv:GeographicCoverage
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HugeDataVolume
Term:
HugeDataVolume
Label:
Huge Data Volume
Description:
Data volume that is considered huge or more than large within the context
Instance of:
dpv:DataVolume
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#HugeScaleOfDataSubjects
Term:
HugeScaleOfDataSubjects
Label:
Huge Scale Of Data Subjects
Description:
Scale of data subjects considered huge or more than large within the context
Instance of:
dpv:DataSubjectScale
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#LargeDataVolume
Term:
LargeDataVolume
Label:
Large Data Volume
Description:
Data volume that is considered large within the context
Instance of:
dpv:DataVolume
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#LargeScaleOfDataSubjects
Term:
LargeScaleOfDataSubjects
Label:
Large Scale Of Data Subjects
Description:
Scale of data subjects considered large within the context
Instance of:
dpv:DataSubjectScale
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#LargeScaleProcessing
Term:
LargeScaleProcessing
Label:
Large Scale Processing
Description:
Processing that takes place at large scales (as specified by some criteria)
Instance of:
dpv:ProcessingScale
Note:
The exact definition of what constitutes "large scale" depends on use of jurisdictional, domain-specific, or other forms of externally defined criterias. Where possible, this should be reflected by extending this term with the appropriate context.
Source:
GDPR Art.4-2
Created:
2020-11-04
Modified:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit,
Piero Bonatti
IRI
https://w3id.org/dpv#LocalEnvironmentScale
Term:
LocalEnvironmentScale
Label:
Local Environment Scale
Description:
Geographic coverage spanning a specific environment within the locality
Instance of:
dpv:GeographicCoverage
Note:
For example, geographic scale of an event take place in a specific building or room
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#LocalityScale
Term:
LocalityScale
Label:
Locality Scale
Description:
Geographic coverage spanning a specific locality
Instance of:
dpv:GeographicCoverage
Note:
For example, geographic scale of a city or an area within a city
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MediumDataVolume
Term:
MediumDataVolume
Label:
Medium Data Volume
Description:
Data volume that is considered medium i.e. neither large nor small within the context
Instance of:
dpv:DataVolume
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#MediumScaleOfDataSubjects
Term:
MediumScaleOfDataSubjects
Label:
Medium Scale Of Data Subjects
Description:
Scale of data subjects considered medium i.e. neither large nor small within the context
Instance of:
dpv:DataSubjectScale
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#MediumScaleProcessing
Term:
MediumScaleProcessing
Label:
Medium Scale Processing
Description:
Processing that takes place at medium scales (as specified by some criteria)
Instance of:
dpv:ProcessingScale
Created:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#MultiNationalScale
Term:
MultiNationalScale
Label:
Multi National Scale
Description:
Geographic coverage spanning multiple nations
Instance of:
dpv:GeographicCoverage
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NationalScale
Term:
NationalScale
Label:
National Scale
Description:
Geographic coverage spanning a nation
Instance of:
dpv:GeographicCoverage
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#NearlyGlobalScale
Term:
NearlyGlobalScale
Label:
Nearly Global Scale
Description:
Geographic coverage nearly spanning the entire globe
Instance of:
dpv:GeographicCoverage
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#ProcessingScale
Term:
ProcessingScale
Label:
Processing Scale
Description:
Scale of Processing
SubType of:
dpv:Scale
Note:
The exact definition of what constitutes "scale" depends on use of jurisdictional, domain-specific, or other forms of externally defined criterias. Where possible, this should be reflected by extending the scales provided with the appropriate context.
Created:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit,
Piero Bonatti
IRI
https://w3id.org/dpv#RegionalScale
Term:
RegionalScale
Label:
Regional Scale
Description:
Geographic coverage spanning a specific region or regions
Instance of:
dpv:GeographicCoverage
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Scale
Term:
Scale
Label:
Scale
Description:
A measurement along some dimension
SubType of:
dpv:ProcessingContext
Note:
Scales are subjective concepts that need to be defined and interpreted within the context of their application. For example, what would be small within one context could be large within another.
Created:
2022-06-15
Contributor(s):
Georg P Krog,
Harshvardhan J. Pandit,
Rana Saniei
IRI
https://w3id.org/dpv#SingularDataVolume
Term:
SingularDataVolume
Label:
Singular Data Volume
Description:
Data volume that is considered singular i.e. a specific instance or single item
Instance of:
dpv:DataVolume
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SingularScaleOfDataSubjects
Term:
SingularScaleOfDataSubjects
Label:
Singular Scale Of Data Subjects
Description:
Scale of data subjects considered singular i.e. a specific data subject
Instance of:
dpv:DataSubjectScale
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SmallDataVolume
Term:
SmallDataVolume
Label:
Small Data Volume
Description:
Data volume that is considered small or limited within the context
Instance of:
dpv:DataVolume
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SmallScaleOfDataSubjects
Term:
SmallScaleOfDataSubjects
Label:
Small Scale Of Data Subjects
Description:
Scale of data subjects considered small or limited within the context
Instance of:
dpv:DataSubjectScale
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SmallScaleProcessing
Term:
SmallScaleProcessing
Label:
Small Scale Processing
Description:
Processing that takes place at small scales (as specified by some criteria)
Instance of:
dpv:ProcessingScale
Created:
2022-09-07
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SporadicDataVolume
Term:
SporadicDataVolume
Label:
Sporadic Data Volume
Description:
Data volume that is considered sporadic or sparse within the context
Instance of:
dpv:DataVolume
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SporadicScaleOfDataSubjects
Term:
SporadicScaleOfDataSubjects
Label:
Sporadic Scale Of Data Subjects
Description:
Scale of data subjects considered sporadic or sparse within the context
Instance of:
dpv:DataSubjectScale
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
has data subject scale
|
has data volume
|
has geographic coverage
|
has scale
|
IRI
https://w3id.org/dpv#hasDataSubjectScale
Term:
hasDataSubjectScale
Label:
has data subject scale
Description:
Indicates the scale of data subjects
Domain:
dpv:Concept
Range:
dpv:DataSubjectScale
Created:
2022-06-22
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasDataVolume
Term:
hasDataVolume
Label:
has data volume
Description:
Indicates the volume of data
Domain:
dpv:Concept
Range:
dpv:DataVolume
Created:
2022-06-22
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasGeographicCoverage
Term:
hasGeographicCoverage
Label:
has geographic coverage
Description:
Indicate the geographic coverage (of specified context)
Domain:
dpv:Concept
Range:
dpv:GeographicCoverage
Created:
2022-06-22
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasScale
Term:
hasScale
Label:
has scale
Description:
Indicates the scale of specified concept
Domain:
dpv:Concept
Range:
dpv:Scale
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
Figure 12
To express the duration of events or operations, such as how long processing will take or the validity of consent, the concept Duration can be used. Duration is indicated using the relation hasDuration , and has the following subtypes:
TemporalDuration - indicating a relative temporal duration, e.g. 6 months.
UntilTimeDuration - indicating duration that occurs until the end of specified time, e.g. until 31 DEC 2022.
UntilEventDuration - indicating duration that occurs until the end of specified event, e.g. until account is closed.
FixedOccurencesDuration - a duration that is based on number of occurences, e.g. until you view it 3 times
EndlessDuration - indicating a duration without an end condition or temporal notation.
Frequency indicates how frequently something occurs. Statistically, this can be expressed as the combination of number of occurences and a time period, which can further be expressed as a probabilitic value or a percentage. For example, for something occuring once every year, the frequency is: 1 or 100% for 1 year. While such quantified representations are important for determining metrics and performing operations, DPV focuses on the qualitative labelling of such representations within a specific context.
The relation hasFrequency associates a frequency with a context, and can be expressed using the following subtypes:
ContinousFrequency - indicates things occuring continously, e.g. location collection happens continously.
SporadicFrequency - indicates things occuring sporadically or rarely or not often, e.g. collecting system usage logs every month.
OftenFrequency - indicates things happen often or regularly or commonly, e.g. online status is reported every 5 mins.
SingularFrequency - indicates things happen only once.
DPV provides two subtypes of concepts to denote contextual - Importance and Necessity , which can be applied to specific contexts such as PersonalDataHandling , Purpose , PersonalData .
Importance is similar in application to Necessity , and provides a way to indicate how central or significant the indicated operation(s) are to the context (e.g. to the Controller). Subtypes of importance are PrimaryImportance to indicate 'main' or 'central' or 'primary' importance, and SecondaryImportance to indicate 'auxiliary' or 'peripheral' or 'secondary' importance.
Necessity enables specifying whether the contextual information is Required , is Optional , or is NotRequired . These can be used to indicate, for example, which parts of processing operations (e.g. purposes, personal data) are optional, and whether a particular processing operation is required to be carried out.
Context
|
Continous Frequency
|
Duration
|
Endless Duration
|
Fixed Occurences Duration
|
Frequency
|
Importance
|
Indeterminate Duration
|
Justification
|
Necessity
|
Not Required
|
Often Frequency
|
Optional
|
Primary Importance
|
Required
|
Scope
|
Secondary Importance
|
Singular Frequency
|
Sporadic Frequency
|
Technology
|
Temporal Duration
|
Until Event Duration
|
Until Time Duration
|
IRI
https://w3id.org/dpv#Context
Term:
Context
Label:
Context
Description:
Contextually relevant information not possible to represent through other core concepts
Created:
2019-04-05
Modified:
2022-06-15
Contributor(s):
Axel Polleres,
Elmar Kiesling,
Fajar Ekaputra,
Harshvardhan J. Pandit,
Javier Fernandez,
Simon Steyskal
Examples:
dex:E0028 - Contextual Necessity
IRI
https://w3id.org/dpv#ContinousFrequency
Term:
ContinousFrequency
Label:
Continous Frequency
Description:
Frequency where occurences are continous
SubType of:
dpv:Frequency
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#EndlessDuration
Term:
EndlessDuration
Label:
Endless Duration
Description:
Duration that is (known or intended to be) open ended or without an end
Instance of:
dpv:Duration
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#FixedOccurencesDuration
Term:
FixedOccurencesDuration
Label:
Fixed Occurences Duration
Description:
Duration that takes place a fixed number of times e.g. 3 times
SubType of:
dpv:Duration
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Frequency
Term:
Frequency
Label:
Frequency
Description:
The frequency or information about periods and repetitions in terms of recurrence.
SubType of:
dpv:Context
Created:
2022-02-16
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Importance
Term:
Importance
Label:
Importance
Description:
An indication of 'importance' within a context
SubType of:
dpv:Context
Note:
Importance can be used to express importance, desirability, relevance, or significance as a context.
Created:
2022-02-09
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#IndeterminateDuration
Term:
IndeterminateDuration
Label:
Indeterminate Duration
Description:
Duration that is indeterminate or cannot be determined
Instance of:
dpv:Duration
Note:
Indeterminate means (exact or otherwise) information about the duration cannot be determined, which is distinct from 'EndlessDuration' where it is known (or decided) that the duration is open-ended or without an end.
Created:
2022-11-30
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Justification
Term:
Justification
Label:
Justification
Description:
A form of documentation providing reaosns, explanations, or justifications
SubType of:
dpv:Context
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Necessity
Term:
Necessity
Label:
Necessity
Description:
An indication of 'necessity' within a context
SubType of:
dpv:Context
Note:
Necessity can be used to express need, essentiality, requirement, or compulsion.
Created:
2022-02-12
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
Examples:
dex:E0028 - Contextual Necessity
IRI
https://w3id.org/dpv#NotRequired
Term:
NotRequired
Label:
Not Required
Description:
Indication of neither being required nor optional i.e. not relevant or needed
Instance of:
dpv:Necessity
Created:
2022-02-15
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#OftenFrequency
Term:
OftenFrequency
Label:
Often Frequency
Description:
Frequency where occurences are often or frequent, but not continous
SubType of:
dpv:Frequency
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Optional
Term:
Optional
Label:
Optional
Description:
Indication of 'optional' or 'voluntary'
Instance of:
dpv:Necessity
Created:
2022-02-14
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#PrimaryImportance
Term:
PrimaryImportance
Label:
Primary Importance
Description:
Indication of 'primary' or 'main' or 'core' importance
Instance of:
dpv:Importance
Created:
2022-02-10
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Required
Term:
Required
Label:
Required
Description:
Indication of 'required' or 'necessary'
Instance of:
dpv:Necessity
Created:
2022-02-13
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#Scope
Term:
Scope
Label:
Scope
Description:
Indication of the extent or range or boundaries associated with(in) a context
SubType of:
dpv:Context
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SecondaryImportance
Term:
SecondaryImportance
Label:
Secondary Importance
Description:
Indication of 'secondary' or 'minor' or 'auxiliary' importance
Instance of:
dpv:Importance
Created:
2022-02-11
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#SingularFrequency
Term:
SingularFrequency
Label:
Singular Frequency
Description:
Frequency where occurences are singular i.e. they take place only once
SubType of:
dpv:Frequency
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#SporadicFrequency
Term:
SporadicFrequency
Label:
Sporadic Frequency
Description:
Frequency where occurences are sporadic or infrequent or sparse
SubType of:
dpv:Frequency
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#Technology
Term:
Technology
Label:
Technology
Description:
The technology, technological implementation, or any techniques, skills, methods, and processes used or applied
Note:
Examples (non-exhaustive) include: Algorithm, Process, Method, Skill, Database, Cookies, Server, Device
Created:
2022-01-26
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#TemporalDuration
Term:
TemporalDuration
Label:
Temporal Duration
Description:
Duration that has a fixed temporal duration e.g. 6 months
SubType of:
dpv:Duration
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#UntilEventDuration
Term:
UntilEventDuration
Label:
Until Event Duration
Description:
Duration that takes place until a specific event occurs e.g. Account Closure
SubType of:
dpv:Duration
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#UntilTimeDuration
Term:
UntilTimeDuration
Label:
Until Time Duration
Description:
Duration that has a fixed end date e.g. 2022-12-31
SubType of:
dpv:Duration
Created:
2022-06-15
Modified:
2020-10-05
Contributor(s):
Harshvardhan J. Pandit
has context
|
has duration
|
has frequency
|
has identifier
|
has justification
|
has outcome
|
has scope
|
is after
|
is before
|
is implemented by entity
|
is implemented using technology
|
IRI
https://w3id.org/dpv#hasContext
Term:
hasContext
Label:
has context
Description:
Indicates a purpose is restricted to the specified context(s)
Domain:
dpv:Concept
Range:
dpv:Context
Created:
2019-04-05
IRI
https://w3id.org/dpv#hasDuration
Term:
hasDuration
Label:
has duration
Description:
Indicates information about duration
Domain:
dpv:Concept
Range:
dpv:Duration
Source:
SPECIAL Project
Created:
2019-04-05
Contributor(s):
Axel Polleres,
Harshvardhan J. Pandit,
Mark Lizar,
Rob Brennan
IRI
https://w3id.org/dpv#hasFrequency
Term:
hasFrequency
Label:
has frequency
Description:
Indicates the frequency with which something takes place
Domain:
dpv:Concept
Range:
dpv:Frequency
Created:
2022-02-16
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasIdentifier
Term:
hasIdentifier
Label:
has identifier
Description:
Indicates an identifier associated for identification or reference
Domain:
dpv:Concept
Range:
dpv:Concept
Created:
2020-11-25
Contributor(s):
Beatriz Esteves,
Georg P Krog,
Harshvardhan J.Pandit,
Paul Ryan
IRI
https://w3id.org/dpv#hasJustification
Term:
hasJustification
Label:
has justification
Description:
Indicates a justification for specified concept or context
Domain:
dpv:Concept
Range:
dpv:Justification
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasOutcome
Term:
hasOutcome
Label:
has outcome
Description:
Indicates an outcome of specified concept or context
Domain:
dpv:Concept
Range:
dpv:Concept
Created:
2022-05-18
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#hasScope
Term:
hasScope
Label:
has scope
Description:
Indicates the scope of specified concept or context
Domain:
dpv:Concept
Range:
dpv:Scope
Created:
2022-06-15
Contributor(s):
Harshvardhan J. Pandit
IRI
https://w3id.org/dpv#isAfter
Term:
isAfter
Label:
is after
Description:
Indicates the specified concepts is 'after' this concept in some context
Domain:
dpv:Concept
Range:
dpv:Concept
Created:
2022-03-02
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake
IRI
https://w3id.org/dpv#isBefore
Term:
isBefore
Label:
is before
Description:
Indicates the specified concepts is 'before' this concept in some context
Domain:
dpv:Concept
Range:
dpv:Concept
Created:
2022-03-02
Contributor(s):
Georg P. Krog,
Harshvardhan J. Pandit,
Julian Flake
IRI
https://w3id.org/dpv#isImplementedByEntity
Term:
isImplementedByEntity
Label:
is implemented by entity
Description:
Indicates implementation details such as entities or agents
Domain:
dpv:Concept
Range:
dpv:Entity
Created:
2019-05-07
Contributor(s):
Axel Polleres,
Beatriz Esteves,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
IRI
https://w3id.org/dpv#isImplementedUsingTechnology
Term:
isImplementedUsingTechnology
Label:
is implemented using technology
Description:
Indicates implementation details such as technologies or processes
Domain:
dpv:Concept
Range:
dpv:Technology
Created:
2022-01-26
Contributor(s):
Beatriz Esteves,
Harshvardhan J. Pandit,
Julian Flake,
Paul Ryan
To assist with expressing the state or status associated with various activities, DPV provides the Status concept that can be associated contextually using the hasStatus relation. Specific subtypes are provided as ActivityStatus , ComplianceStatus including Lawfulness , AuditStatus , ConformanceStatus , and RequestStatus .
ActivityStatus represents a state or status of an activity's operations and lifecycle, which includes ActivityProposed , ActivityOngoing , ActivityHalted , ActivityCompleted , and ActivityNotCompleted .
ComplianceStatus represents status associated with compliance with some norms, objectives, or requirements. Types include Compliant , PartiallyCompliant , NonCompliant , ComplianceViolation , ComplianceUnknown , ComplianceIndeterminate . The association with a law or objective can be specified using hasApplicableLaw or hasPolicy directly for the status or indirectly through the concept whose status is being represented.
Lawfulness represents a special type of
3.1.71 Social Media Marketing
https://w3id.org/dpv#SocialMediaMarketing