10.5281/zenodo.3246495
https://zenodo.org/records/3246495
oai:zenodo.org:3246495
Pandit, Harshvardhan J.
Harshvardhan J.
Pandit
0000-0002-5068-3714
ADAPT Centre, Trinity College Dubln
O'Sullivan, Declan
Declan
O'Sullivan
0000-0003-1090-3548
ADAPT Centre, Trinity College Dubln
Lewis, Dave
Dave
Lewis
0000-0002-3503-4644
ADAPT Centre, Trinity College Dubln
Queryable Provenance Metadata For GDPR Compliance
Zenodo
2018
2018-10-18
10.5281/zenodo.3246494
proceedings
Creative Commons Attribution Non Commercial No Derivatives 4.0 International
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.
Science Foundation Ireland
10.13039/501100001602
13/RC/2106
ADAPT: Centre for Digital Content Platform Research