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Data Privacy Vocabulary (DPV) - Version 2.0

 
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cris.virtualsource.orcid8cf7f9e0-147d-460d-9183-a0a275e91d5c
dc.contributor.authorPandit, Harshvardhan J.
dc.contributor.authorGoncalves Crisostomo Esteves, Beatriz
dc.contributor.authorKrog, Georg P.
dc.contributor.authorRyan, Paul
dc.contributor.authorGolpayegani, Delaram
dc.contributor.authorFlake, Julian
dc.date.accessioned2026-03-19T14:43:12Z
dc.date.available2026-03-19T14:43:12Z
dc.date.createdwos2025-09-25
dc.date.issued2025
dc.description.abstractThe Data Privacy Vocabulary (DPV), developed by the W3C Data Privacy Vocabularies and Controls Community Group (DPVCG), enables the creation of machine-readable, interoperable, and standards-based representations for describing the processing of personal data. The group has also published extensions to the DPV to describe specific applications to support legislative requirements such as the EU’s GDPR. The DPV fills a crucial niche in the state of the art by providing a vocabulary that can be embedded and used alongside other existing standards such as W3C ODRL, and which can be customised and extended for adapting to specifics of use-cases or domains. This article describes the version 2 iteration of the DPV in terms of its contents, methodology, current adoptions and uses, and future potential. It also describes the relevance and role of DPV in acting as a common vocabulary to support various regulatory (e.g., EU’s DGA and AI Act) and community initiatives (e.g., Solid) emerging across the globe.
dc.description.wosFundingTextThe DPVCG was established as part of the SPECIAL H2020 Project funded by the European Union's Horizon 2020 programme under Grant#731601 (2017-2019). Harshvardhan J. Pandit was funded (2020-2022) 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 (2018-2020) and Grant#13/RC/2106_P2 (2021 onwards). Piero Bonatti and Luigi Sauro were funded by the European Union's Horizon 2020 programme under Grant#731601 (2017-2019), and under TRAPEZE Grant#883464 (2020-2023). Beatriz Esteves and Delaram Golpayegani were funded by European Union's Horizon 2020 programme's Marie Skllodowska-Curie Grant#813497 PROTECT ITN Project. Beatriz is also funded by SolidLab Vlaanderen (Flemish Government, EWI and RRF project VV023/10). Julian Flake received funding from the German Federal Ministry of Education and Research (BMBF) grant#16KIS1298 (AINET PROTECT), from the European Union's Horizon Europe Framework Programme grant#101129822 (TITAN) and from the European Union's Digital Europe Programme grant#101123471 (EDGE-Skills). For the purpose of Open Access the authors have applied a CC-BY public copyright licence to any Author Accepted Manuscript arising from this submission.
dc.identifier.doi10.1007/978-3-031-77847-6_10
dc.identifier.isbn978-3-031-77846-9
dc.identifier.issn0302-9743
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58883
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage171
dc.source.conferenceThe Semantic Web – ISWC 2024
dc.source.conferencedate2024-11-11
dc.source.conferencelocationBaltimore
dc.source.endpage193
dc.source.journalSEMANTIC WEB-ISWC 2024, PT III
dc.source.numberofpages23
dc.subject.keywordsMODEL
dc.title

Data Privacy Vocabulary (DPV) - Version 2.0

dc.typeProceedings paper
dspace.entity.typePublication
imec.identified.statusLibrary
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
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