Ryan, Paul ORCID: 0000-0003-0770-2737, Crane, Martin ORCID: 0000-0001-7598-3126 and Brennan, Rob ORCID: 0000-0001-8236-362X (2020) Design challenges for GDPR RegTech. In: ICEIS 2020, 22nd International Conference on Enterprise Information Systems, 5-7- May 2020, Czech Republic. (Online). ISBN 978-989-758-423-7
Abstract
The Accountability Principle of the GDPR requires that an organisation can demonstrate compliance with the regulations. A survey of GDPR compliance software solutions shows significant gaps in their ability to demonstrate compliance. In contrast, RegTech has recently brought great success to financial compliance, resulting in reduced risk, cost saving and enhanced financial regulatory compliance. It is shown that many GDPR solutions lack interoperability features such as standard APIs, meta-data or reports and they are not supported by published methodologies or evidence to support their validity or even utility. A proof of concept prototype was explored using a regulator based self-assessment checklist to establish if RegTech best practice could improve the demonstration of GDPR compliance. The application of a RegTech approach provides opportunities for demonstrable and validated GDPR compliance, notwithstanding the risk reductions and cost savings that RegTech can deliver. This paper demonstrates a RegTech approach to GDPR compliance can facilitate an organisation meeting its accountability obligations.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | GDPR; Compliance; Accountability; Data Protection Officer; RegTech |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Initiatives and Centres > ADAPT |
Published in: | Proceedings of the 22nd International Conference on Enterprise Information Systems (ICEIS). 2. Scitepress. ISBN 978-989-758-423-7 |
Publisher: | Scitepress |
Official URL: | https://doi.org/10.5220/0009464507870795 |
Copyright Information: | 2020 The Authors. CC BY-NC-ND 4.0 |
Funders: | Science Foundation Ireland (SFI) Research Centres Programme (Grant 13/RC/2106, European Regional Development Fund |
ID Code: | 24547 |
Deposited On: | 05 Jun 2020 12:37 by Vidatum Academic . Last Modified 05 Jun 2020 12:37 |
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