Contributors: (ordered alphabetically) Arthit Suriyawongkul (ADAPT Centre, Trinity College Dublin), Thitirat Thipsamritkul (Thammasat University). NOTE: The affiliations are informative, do not represent formal endorsements, and may be outdated as this list is generated automatically from existing data.

The LEGAL-JP extension extends the [[[DPV]]] to represent laws, authorities, and other legal concepts in JP jurisdiction.

The canonical URL for LEGAL-JP extension is https://w3id.org/dpv/legal/jp, the namespace is https://w3id.org/dpv/legal/jp#, the suggested prefix is legal-jp, and this document along with source and releases are available at https://github.com/w3c/dpv.

DRAFT RELEASE This is draft release intended for review.

DPV Specifications: The [[DPV]] is the core specification within the DPV family, with the following extensions: Personal Data [[PD]], Locations [[LOC]], Risk Management [[RISK]], Technology [[TECH]] and [[AI]], [[JUSTIFICATIONS]], [[SECTOR]] specific extensions, and [[LEGAL]] extensions modelling specific jurisdictions and regulations. 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.

To cite and understand the structure of DPV, the article "Data Privacy Vocabulary (DPV) - Version 2.0" (2024) describes the current state of DPV and extensions from version 2.0 onwards (open access version here). The earlier article "Creating A Vocabulary for Data Privacy" (2019) describes 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.

Laws

Laws are represented as instances of dpv:Law, and are associated with their jurisdictions using the [[LOC]] taxonomy and dpv:hasJurisdiction relation. The webpage for the law, if available, is indicated using foaf:homepage, and the temporal start and end if available, is represented using dct:temporal relation with an instance of time:ProperInterval.

ID Name Jurisdictions Authorities Webpage Start/End
law-APPI Act on the Protection of Personal Information (Act No. 57 of 2003) (APPI) Japan link 2005-04-01/ongoing

Vocabulary Index

Classes

Act on the Protection of Personal Information (Act No. 57 of 2003) (APPI)

Term law-APPI Prefix legal-jp
Label Act on the Protection of Personal Information (Act No. 57 of 2003) (APPI)
IRI https://w3id.org/dpv/legal/jp#law-APPI
Type rdfs:Class, skos:Concept, dpv:Law
Broader/Parent types dpv:Law
Object of relation dpv:hasApplicableLaw
Date Created 2025-03-19
Contributors Arthit Suriyawongkul, Arthit Suriyawongkul, Thitirat Thipsamritkul, Thitirat Thipsamritkul
has jurisdiction Japan
See More: section LEGAL in LEGAL-JP

Properties

DPV uses the following terms from [[RDF]] and [[RDFS]] with their defined meanings:

The following external concepts are re-used within DPV:

External

Future Work

Funding Acknowledgements

Funding Sponsors

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.

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).

Funding Acknowledgements for Contributors

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.

Changelog for v2.2

go to changelog