Conference paper Open Access
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3246493</identifier> <creators> <creator> <creatorName>Pandit, Harshvardhan J.</creatorName> <givenName>Harshvardhan J.</givenName> <familyName>Pandit</familyName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-5068-3714</nameIdentifier> <affiliation>ADAPT Centre, Trinity College Dubln</affiliation> </creator> </creators> <titles> <title>Exploring GDPR Compliance Over ProvenanceGraphs Using SHACL</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2018</publicationYear> <dates> <date dateType="Issued">2018-09-05</date> </dates> <resourceType resourceTypeGeneral="Text">Conference paper</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3246493</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3246492</relatedIdentifier> </relatedIdentifiers> <version>preprint</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>Semantic&nbsp; web&nbsp; technologies&nbsp; provide&nbsp; an&nbsp; open&nbsp; and&nbsp; adaptable framework for compliance regarding the General Data Protection Regulation&nbsp; (GDPR).&nbsp; Our&nbsp; previous&nbsp; work&nbsp; in&nbsp; this&nbsp; regard&nbsp; demonstrates&nbsp; the use of SPARQL for querying provenance of consent and personal data lifecycles&nbsp; for&nbsp; compliance.&nbsp; We&nbsp; extend&nbsp; this&nbsp; work&nbsp; through&nbsp; our&nbsp; model&nbsp; for evaluation of GDPR compliance using SHACL to validate the correctness and completeness of information. The model describes the creation of&nbsp; a&nbsp; compliance&nbsp; graph&nbsp; consisting&nbsp; of&nbsp; information&nbsp; required&nbsp; to&nbsp; document and&nbsp; demonstrate&nbsp; compliance&nbsp; linked&nbsp; to&nbsp; specific&nbsp; articles&nbsp; and&nbsp; obligations within the GDPR using the GDPRtEXT vocabulary.</p></description> </descriptions> <fundingReferences> <fundingReference> <funderName>Science Foundation Ireland</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100001602</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/SFI/SFI+Research+Centres/13%2FRC%2F2106/">13/RC/2106</awardNumber> <awardTitle>ADAPT: Centre for Digital Content Platform Research</awardTitle> </fundingReference> </fundingReferences> </resource>
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