Treffer: Queryable Provenance Metadata For GDPR Compliance ; Procedia Computer Science ; SEMANTICS 2018

Title:
Queryable Provenance Metadata For GDPR Compliance ; Procedia Computer Science ; SEMANTICS 2018
Contributors:
Science Foundation Ireland (SFI), 13/RC/2106
Publication Year:
2018
Collection:
The University of Dublin, Trinity College: TARA (Trinity's Access to Research Archive)
Document Type:
Konferenz conference object
File Description:
262-268; application/pdf
Language:
English
Rights:
Y ; openAccess
Accession Number:
edsbas.EC8C3514
Database:
BASE

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PUBLISHED ; Vienna, Austria ; 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.