Published July 1, 2024
| Version 2.0-beta
Dataset
Open
Data Privacy Vocabulary (DPV)
Creators
Description
Data Privacy Vocabulary (DPV)
The Data Privacy Vocabulary (DPV) provides an ontology (classes and properties) and taxonomies of concepts to represent information regarding how personal data is processed in the form of an ontology or a knowledge graph. For example, it provides taxonomies associated with:
- purposes of processing
- personal data categories involved
- processing operations
- technical and organisational measures or restrictions applied
- legal basis used to justify processing
- information about legal basis for processing
- rights as applicable
- risks as applicable
The namespace for DPV terms is http://w3id.org/dpv#
with suggested prefix dpv
, and serialisations are provided in RDF/XML, Turtle, JSON-LD, and N3 formats. The default serialisations are defined using RDFS/SKOS semantics, with an alternate serialisation defined using OWL2 semantics.
Extensions
These extensions provide additional concepts that extend the concepts and scope of the main DPV specification:- Personal Data (PD) provides a taxonomy of personal data categories
- Location (LOC) provides a taxonomy of location concepts based on ISO 3166 (countries, regions)
- Technology (TECH) provides a taxonomy of technology concepts
- AI provides a taxonomy of AI concepts extending the TECH extension
- Justifications provides concepts for representing justifications i.e. why something must be done or could not be done
- Risk provides concepts for risk assessment and management
Extensions for Jurisdictions and Regulations
The legal extensions provide concepts associated with specific jurisdictions and the laws, authorities, and treaties within them. The Legal page provides an overview of these. The jurisdictions are represented by using their ISO 3166-2 codes.- European Union (EU)
- Germany (DE)
- Ireland (IE)
- India (IN)
- United Kingdom (GB)
- United States of America (USA)
Acknowledgements and Citation
- For use of DPV from v2 onwards, Cite as: Data Privacy Vocabulary (DPV) -- Version 2 by Harshvardhan J. Pandit, Beatriz Esteves, Georg P. Krog, Paul Ryan, Delaram Golpayegani, Julian Flake https://arxiv.org/abs/2404.13426 (2024)
- For use of DPV up to v1 and v1.1, Cite as: The peer-reviewed article “Creating A Vocabulary for Data Privacy” presents a historical overview of the DPVCG, and describes the methodology and structure of the DPV along with describing its creation. An open-access version can be accessed here, here, and here.
Files
dpv-2.0-beta.zip
Files
(13.1 MB)
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Additional details
Identifiers
- URL
- https://w3.org/ns/dpv
- W3ID
- https://w3id.org/dpv
Related works
- Is described by
- Conference paper: 10.1007/978-3-030-33246-4_44 (DOI)
- Preprint: 10.48550/arXiv.2404.13426 (DOI)
- Is new version of
- Dataset: 10.5281/zenodo.12505841 (DOI)
Funding
- SPECIAL – Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance 731601
- European Commission
- TRAPEZE – TRAPEZE - TRAnsparency, Privacy and security for European citiZEns 883464
- European Commission
- PROTECT – Protecting Personal Data Amidst Big Data Innovation 813497
- European Commission
- ADAPT SFI Centre for Digital Media Technology 13/RC/2106
- Science Foundation Ireland
- ADAPT SFI Centre for Digital Media Technology 13/RC/2106_P2
- Science Foundation Ireland
- Irish Research Council Government of Ireland Postdoctoral Fellowship GOIPD/2020/790
- Irish Research Council
Dates
- Created
-
2022-12-05
Software
- Repository URL
- https://github.com/w3c/dpv