This document provides a mapping from [[[ODRL-VOCAB]]] concepts to DPV concepts to assist implementations using both of them together. Currently, this activity is a work in progress and the DPVCG welcomes contributions and participation for it.
DPV Specifications: The [[DPV]] is the core specification that is extended by specific extensions. A [[PRIMER]] introduces the concepts and modelling of DPV specifications, and [[GUIDES]] describe application of DPV for specific applications and use-cases. The Search Index page provides a searchable hierarchy of all concepts. The Data Privacy Vocabularies and Controls Community Group (DPVCG) develops and manages these specifications through GitHub. For meetings, see the DPVCG calendar.
The peer-reviewed article "Data Privacy Vocabulary (DPV) - Version 2.0" (2024) describes the current state of DPV and extensions from version 2.0 onwards, with an earlier article (2019) covering how the DPV was developed (open access versions here, here, and here).
Contributing: The DPVCG welcomes participation to improve the DPV and associated resources, including expansion or refinement of concepts, requesting information and applications, and addressing open issues. See contributing guide for further information.
Concepts in DPV can be aligned with those from the [[[ODRL-VOCAB]]] by using [[SKOS]] relations. In addition, to enable the use of DPV in ODRL policies, certain relations are expressed as instances of ODRL's Operand concepts. This mapping is also provided in RDF and CSV form for convenience. This mapping will assist the [[[GUIDE-ODRL]]].
The DPVCG aims to create and provide a profile containing DPV concepts to enable the use of all DPV vocabularies in adherence with ODRL recommendations, and welcomes contributions and participation in this process.
The following namespaces are used in the document:
| Prefix | Namespace |
|---|---|
| ai | https://w3id.org/dpv/ai# |
| dpv | https://w3id.org/dpv# |
| dpv-odrl | https://w3id.org/dpv/mappings/odrl# |
| odrl | http://www.w3.org/ns/odrl/2/ |
| pd | https://w3id.org/dpv/pd# |
| skos | http://www.w3.org/2004/02/skos/core# |
| External Concept | DPV Concept | Mapping Type |
|---|---|---|
| odrl:Party | dpv:Entity | skos:narrower |
| odrl:Action | dpv:Processing | skos:narrower |
| odrl:Asset | dpv:Data | skos:narrower |
| odrl:Asset | ai:AISystem | skos:narrower |
| odrl:Asset | ai:Model | skos:narrower |
| odrl:Asset | dpv:PersonalData | skos:narrower |
| odrl:Policy | dpv:LegalAgreement | skos:narrower |
| odrl:LeftOperand | dpv:Purpose | rdf:type |
| odrl:LeftOperand | dpv:TechnicalOrganisationalMeasure | rdf:type |
| odrl:LeftOperand | dpv:TechnicalMeasure | rdf:type |
| odrl:LeftOperand | dpv:OrganisationalMeasure | rdf:type |
| odrl:LeftOperand | dpv:LegalMeasure | rdf:type |
| odrl:LeftOperand | dpv:PhysicalMeasure | rdf:type |
| odrl:LeftOperand | dpv:Location | rdf:type |
| odrl:LeftOperand | dpv:hasJurisdiction | rdf:type |
| odrl:LeftOperand | dpv:Law | rdf:type |
| odrl:LeftOperand | dpv:LegalBasis | rdf:type |
| odrl:LeftOperand | dpv:Recipient | rdf:type |
| odrl:LeftOperand | dpv:Right | rdf:type |
| odrl:LeftOperand | dpv:Risk | rdf:type |
| odrl:LeftOperand | dpv:Data | rdf:type |
| odrl:LeftOperand | dpv:PersonalData | rdf:type |
| odrl:LeftOperand | dpv:DataController | rdf:type |
| odrl:LeftOperand | dpv:DataProcessor | rdf:type |
| odrl:LeftOperand | dpv:HumanSubject | rdf:type |
| odrl:LeftOperand | dpv:DataSubject | rdf:type |
| odrl:LeftOperand | dpv:Duration | rdf:type |
| odrl:LeftOperand | dpv:Frequency | rdf:type |
| odrl:LeftOperand | dpv:Justification | rdf:type |
| odrl:LeftOperand | dpv:Technology | rdf:type |
| odrl:LeftOperand | dpv:DataSource | rdf:type |
The DPVCG was established as part of the SPECIAL H2020 Project, which received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 731601 from 2017 to 2019. Continued developments have been funded under: RECITALS Project funded under the EU's Horizon program with grant agreement No. 101168490.
Harshvardhan J. Pandit was funded to work on DPV from 2020 to 2022 by the Irish Research Council's Government of Ireland Postdoctoral Fellowship Grant#GOIPD/2020/790.
The ADAPT SFI Centre for Digital Media Technology is funded by Science Foundation Ireland through the SFI Research Centres Programme and is co-funded under the European Regional Development Fund (ERDF) through Grant#13/RC/2106 (2018 to 2020) and Grant#13/RC/2106_P2 (2021 onwards).
The contributions of Beatriz Esteves have received funding through the PROTECT ITN Project from the the INESData project - Infrastructure to Investigate Data Spaces in Distributed Environments at UPM, (TSI-063100-2022-0001), a project funded under the UNICO I+D CLOUD call by the Ministry for Digital Transformation and the Civil Service, in the framework of the recovery plan PRTR financed by the European Union (NextGenerationEU); and from SolidLab Vlaanderen (Flemish Government, EWI and RRF project VV023/10), and by the imec.icon project PACSOI (HBC.2023.0752) which was co-financed by imec and VLAIO; and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 813497; and the SolidLab Vlaanderen (Flemish Government, EWI and RRF project VV023/10), and by the imec.icon project PACSOI (HBC.2023.0752) which was co-financed by imec and VLAIO.
The contributions of Harshvardhan J. Pandit have been made with the financial support of Science Foundation Ireland under Grant Agreement No. 13/RC/2106_P2 at the ADAPT SFI Research Centre; and the AI Accountability Lab (AIAL) which is supported by grants from following groups: the AI Collaborative, an Initiative of the Omidyar Group; Luminate; the Bestseller Foundation; and the John D. and Catherine T. MacArthur Foundation.