3246495
doi
10.5281/zenodo.3246495
oai:zenodo.org:3246495
O'Sullivan, Declan
ADAPT Centre, Trinity College Dubln
Lewis, Dave
ADAPT Centre, Trinity College Dubln
Queryable Provenance Metadata For GDPR Compliance
Pandit, Harshvardhan J.
ADAPT Centre, Trinity College Dubln
info:eu-repo/semantics/openAccess
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
<p>Information associated with regulatory compliance is often siloed as legal documentation that is not suitable for querying or reuse. Utilising open standards and technologies to represent and query this information can facilitate interoperability between stakeholders and assist in the task of maintaining as well as demonstrating compliance. In this paper, we show how semantic web technologies can assist in representation and querying of compliance information related to the General Data Protection Regulation (GDPR), an European law governing the use of consent and personal data. We focus on the subset of obligations related to the use of consent and personal data, and represent the associated metadata using the previously published GDPRov ontology and GDPRtEXT resource. We present a proof-of-concept demonstration (available online) where information is queried to automatically populate the GDPR-readiness checklist published by Ireland’s Data Protection Commissioner.</p>
Zenodo
2018-10-18
info:eu-repo/semantics/conferencePaper
3246494
proceedings
award_title=ADAPT: Centre for Digital Content Platform Research; award_number=13/RC/2106; funder_id=0271asj38; funder_name=Science Foundation Ireland;
1579534870.414055
317893
md5:b9fc48ee5ebfc3f0e7c9051267705af5
https://zenodo.org/records/3246495/files/SEMANTiCS2018___Queryable_Provenance_Metadata_for_GDPR_Compliance.pdf
public
10.5281/zenodo.3246494
isVersionOf
doi