GDPR consent management and automated compliance verification tool
Tek Raj Chhetri,
Anna Fensel,
Rance J. DeLong
Affiliations
Tek Raj Chhetri
Semantic Technology Institute (STI), Department of Computer Science, Universität Innsbruck, Innsbruck, 6020, Austria; Web and Internet Science Research Group, School of Electronics and Computer Science, The University of Southampton, University Road, Highfield Campus Southampton SO17 1BJ, United Kingdom; Corresponding author at: Semantic Technology Institute (STI), Department of Computer Science, Universität Innsbruck, Innsbruck, 6020, Austria.
Anna Fensel
Wageningen Data Competence Center, Wageningen University & Research, Wageningen, 6708 PB, The Netherlands; Consumption and Healthy Lifestyles Chair Group, Wageningen University & Research, Wageningen, 6706 KN, The Netherlands
Rance J. DeLong
The Open Group, Reading, Berkshire, RG1 1AX, United Kingdom
This paper presents our scalable and interoperable tool for GDPR (General Data Protection Regulation) consent management and automated compliance verification. The tool enables GDPR-compliant data sharing and is beneficial to the industries that process personally identifiable data. The tool has been designed following the GDPR data protection by design principles and has been successfully validated against real-world industrial use case scenarios in smart cities and insurance.
