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Publication . Conference object . Article . 2018

Queryable Provenance Metadata For GDPR Compliance

Pandit, Harshvardhan J.; O'Sullivan, Declan; Lewis, Dave;
Open Access
Abstract
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.
Subjects by Vocabulary

ACM Computing Classification System: ComputingMilieux_LEGALASPECTSOFCOMPUTING

Microsoft Academic Graph classification: Semantic Web Computer science Metadata General Data Protection Regulation Interoperability Open standard Documentation European Union law Ontology Ontology (information science) Data Protection Act 1998 World Wide Web

Subjects

General Earth and Planetary Sciences, General Environmental Science

Related Organizations
Funded by
SFI| ADAPT: Centre for Digital Content Platform Research
Project
  • Funder: Science Foundation Ireland (SFI)
  • Project Code: 13/RC/2106
  • Funding stream: SFI Research Centres
Related to Research communities
Social Science and Humanities
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