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Adoption and Uses of DPVCG

Harshvardhan Pandit edited this page Aug 4, 2024 · 2 revisions

Table of Contents

Adoption of DPVCG

This page provides information about current adoptions, uses, and implementations of the work done by DPVCG, including DPV and DPV-GDPR. Community members should use their W3C account to edit this page. Others should communicate with an existing member or send an email to the group.

Suggested categories for classifying:

  • Works that utilise DPV towards an application or goal
  • Works that extend DPV
  • Works that evaluate DPV e.g. for suitability, extent, feasibility of specified criteria
  • Works that compare DPV with other approaches
  • Works that mention DPV
Suggested categories for sources:
  • Academic or peer-reviewed articles
  • Blog posts, reports, and other informal articles
  • Social media communications or mentions of interest

Application of DPV in a particular task or use case

This section lists publications that describe use of DPV in specific applications and use-cases.

Use of DPV in Industry/Commercial settings

  • Signatu - uses DPV to represent information in its SaaS platform for GDPR compliance and Data Governance
  • DPV was involved in SPECIAL H2020 Project which contained Industry partners: World Wide Web Consortium (W3C), Unabhängiges Landeszentrum für Datenschutz (ULD, Data Protection Authority), TenForce, PROXIMUS/Belgacom, Deutsche Telekom AG, Thomson Reuters
  • DPV is being used by TRAPEZE H2020 Project which contains Industry partners: TENFORCE (BE), Deutsche Telekom (DE), CaixaBank (ES), Unabhängiges Landeszentrum für Datenschutz, Schleswig-Hostein (DE), Kaspersky Lab Italia (IT)
  • DPV is being used by SmashHit H2020 Project which contains Industry partners: The Open Group Limited (United Kingdom), Volkswagen Aktiengesellschaft (Germany), Lexisnexis Risk Solutions (europe)ltd (Ireland), Forum Virium Helsinki Oy (Finland), Infotripla Oy (Finland), Atos Spain Sa (Spain), Atos It Solutions And Services Iberia Sl (Spain)
  • The "Understanding MyData Operators" report by MyData references DPV amongst "Technologies, specifications and standards commonly in use" ref. https://mydata.org/wp-content/uploads/2022/07/Understanding-MyData-Operators-2022-1.pdf

Use in Projects containing Industry/Commercial Partners

  • SPECIAL H2020 project -- The SPECIAL project (Scalable Policy-aware Linked Data Architecture For Privacy, Transparency and Compliance) developed method for the acquisition of user consent at collection time and the recording of both data and metadata (consent policies, event data, context) according to legislative and user-specified policies. SPECIAL launched the W3C Data Privacy Vocabularies and Controls Community Group (DPVCG) as a follow-up action of a very successful workshop on ‘Data Privacy Controls and Vocabularies’ that SPECIAL held together with W3C in April 2018. The consortium partners are the Vienna University of Business and Economics (WU), World Wide Web Consortium (W3C), the Unabhängiges Landeszentrum für Datenschutz (ULD), the Centro Regionale Information Communication Technology (CeRICT), the Technische Universität Berlin (TU-Berlin), TenForce, PROXIMUS/Belgacom, Deutsche Telekom AG and Thomson Reuters.
  • TRAPEZE H2020 project -- TRAPEZE (Transparency, Privacy & Security for European Citizens) uses DPV for creating a semantic policy language that uniformly represents: Privacy policies, data subjects’consent, data protection regulations. It is developing a machine understandable vocabulary and automated compliance checking using an OWL2 profile that uses formal semantics to provide provably correct compliance (no false positives nor negatives) with high performance (real time compliance checking: ~200 μsec/check). TRAPEZE’s industrial partners test these implementations by writing their privacy policies using the developed framework. To facilitate greater adoption, TRAPEZE is creating a JSON serialisation (equivalent to OWL2 version). The project includes 13 partners from seven European countries: TENFORCE (BE), ERCIM – The European Research Consortium for Informatics and Mathematics (FR), TU Berlin (DE), Informatie Vlaanderen (BE), Deutsche Telekom (DE), CaixaBank (ES), CINI – Consorzio Interuniversitario Nazionale per l’Informatica (IT), Unabhängiges Landeszentrum für Datenschutz, Schleswig-Hostein (DE), Kaspersky Lab Italia (IT), Institute Mihajlo Pupin (RS), IPSOS (BE), Athens Technology Centre (GR) and E-Seniors Association (FR).
  • SmashHit H2020 project -- SmashHit has developed an ontology for GDPR compliant sensor data sharing in the smart cities and insurance domains that uses DPV in its ontologies to model contracts and consent information as Knowledge Graphs. The consortium includes Universitaet Innsbruck (Austria), Gottfried Wilhelm Leibniz Universitaet Hannover (Germany), The Open Group Limited (United Kingdom), Volkswagen Aktiengesellschaft (Germany), Lexisnexis Risk Solutions (europe)ltd (Ireland), Forum Virium Helsinki Oy (Finland), Infotripla Oy (Finland), Atos Spain Sa (Spain), Atos It Solutions And Services Iberia Sl (Spain), Rheinische Friedrich-wilhelms-universitat Bonn (Germany).
  • MOSAICrOWN H2020 project -- TBA
  • FAIRVASC H2020 project -- uses semantic-web technologies to link vasculitis (health condition) registries across Europe into a ‘single European dataset’, and thus open the door to new research into these challenging diseases by using FAIR principles for better data sharing. It uses DPV to annotate datasets with policies and represent consent information.

Extensions to DPV

Evaluation/Comparison of DPV

Mentions of DPV