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dc.contributor.authorLewis, Daviden
dc.contributor.authorPANDIT, HARSHVARDHAN JITENDRAen
dc.date.accessioned2018-03-08T12:21:45Z
dc.date.available2018-03-08T12:21:45Z
dc.date.created22 Oct 2017en
dc.date.issued2017en
dc.date.submitted2017en
dc.identifier.citationHarshvardhan J Pandit, Dave Lewis, Modelling Provenance for GDPR Compliance using Linked Open Data Vocabularies, 5th Society, Privacy and the Semantic Web - Policy and Technology workshop (PrivOn 2017).co-located with ISWC 2017, Vienna, Austria, 22 Oct 2017, 2017en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/82660
dc.descriptionPUBLISHEDen
dc.descriptionVienna, Austriaen
dc.description.abstractThe upcoming General Data Protection Regulation (GDPR) requires justification of data activities to acquire, use, share, and store data using consent obtained from the user. Failure to comply may result in significant heavy fines which incentivises creation and maintenance of records for all activities involving consent and data. Compliance documentation therefore requires provenance information outlining consent and data lifecycles to demonstrate correct usage of data in accordance with the related consent provided and updated by the user. In this paper, we present GDPRov, a linked data ontology for expressing provenance of consent and data lifecycles with a view towards documenting compliance. GDPRov is an OWL2 ontology that extends PROV-O and P-Plan to model the provenance, and uses SPARQL to express compliance related queriesen
dc.description.sponsorshipThis paper is supported by the ADAPT Centre for Digital Content Technology, which is funded under the SFI Research Centres Programme (Grant 13/RC/2106) and is co-funded under the European Regional Development Fund.en
dc.language.isoenen
dc.rightsYen
dc.subjectGDPR, Data Protection, Linked Open Data, Data Provenanceen
dc.titleModelling Provenance for GDPR Compliance using Linked Open Data Vocabulariesen
dc.title.alternative5th Society, Privacy and the Semantic Web - Policy and Technology workshop (PrivOn 2017).co-located with ISWC 2017en
dc.typeConference Paperen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/delewisen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/pandithen
dc.identifier.rssinternalid184782en
dc.rights.ecaccessrightsopenAccess
dc.contributor.sponsorGrantNumber13/RC/2106en
dc.subject.TCDThemeDigital Engagementen
dc.identifier.rssurihttp://ceur-ws.org/Vol-1951/PrivOn2017_paper_6.pdfen
dc.identifier.orcid_id0000-0002-3503-4644en
dc.status.accessibleNen


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