Creating a vocabulary for data privacy:
the first-year report of data privacy vocabularies and
controls community group (DPVCG)
Pandit, Harshvardhan J.ORCID: 0000-0002-5068-3714, Polleres, AxelORCID: 0000-0001-5670-1146, Bos, Bert, Brennan, RobORCID: 0000-0001-8236-362X, Bruegger, Bud, Ekaputra, Fajar J.ORCID: 0000-0003-4569-2496, Hamed, Ramisa Gachpaz, Kiesling, ElmarORCID: 0000-0002-7856-2113, Lizar, Mark, Schlehan, Eva, Steyskal, Simon and Wenning, Rigo
(2019)
Creating a vocabulary for data privacy:
the first-year report of data privacy vocabularies and
controls community group (DPVCG).
In: ODBASE 2019: The 18th International Conference on Ontologies, DataBases, and Applications of Semantics, 22-23 Oct 2019, Rhodes, Greece.
ISBN 978-3-030-33246-4
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.
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
European Union’s Horizon 2020 research and innovation programme under grant 73160, ADAPT Centre for Digital Excellence funded by SFI Research Centres Programme (Grant 13/RC/2106) and co-funded by European Regional Development Fund
ID Code:
23801
Deposited On:
21 Oct 2019 09:16 by
Thomas Murtagh
. Last Modified 20 May 2021 13:57