Published October 11, 2019 | Version published
Conference paper Open

Creating a Vocabulary for Data Privacy: The First-Year Report of Data Privacy Vocabularies and Controls Community Group (DPVCG)

  • 1. ADAPT Centre, Trinity College Dublin, Ireland
  • 2. Vienna University of Economics and Business, Austria
  • 3. W3C/ERCIM
  • 4. Dublin City University, Ireland
  • 5. Unabhängiges Landeszentrum für Datenschutz Schleswig-Holstein, Germany
  • 6. Vienna University of Technology, Austria
  • 7. OpenConsent/Kantara Initiative, United Kingdom
  • 8. Siemens, Austria

Description

Managing privacy and understanding handling of personal data has turned into a fundamental right, at least within the European Union, with the General Data Protection Regulation (GDPR) being enforced since May 25th 2018. This has led to tools and services that promise compliance to GDPR in terms of consent management and keeping track of personal data being processed. The information recorded within such tools, as well as that for compliance itself, needs to be interoperable to provide sufficient transparency in its usage. Additionally, interoperability is also necessary towards addressing the right to data portability under GDPR as well as creation of user-configurable and manageable privacy policies. We argue that such interoperability can be enabled through agreement over vocabularies using linked data principles. The W3C Data Privacy Vocabulary and Controls Community Group (DPVCG) was set up to jointly develop such vocabularies towards interoperability in the context of data privacy. This paper presents the resulting Data Privacy Vocabulary (DPV), along with a discussion on its potential uses, and an invitation for feedback and participation.

Notes

This work was also supported by the Austrian Research Promotion Agency (FFG) under the projects "EXPEDiTE" and "CitySpin"

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Additional details

Funding

SPECIAL – Scalable Policy-awarE linked data arChitecture for prIvacy, trAnsparency and compLiance 731601
European Commission
ADAPT: Centre for Digital Content Platform Research 13/RC/2106
Science Foundation Ireland