Authors:
Julia Pampus
1
and
Maritta Heisel
2
Affiliations:
1
Fraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany
;
2
University of Duisburg-Essen, Duisburg, Germany
Keyword(s):
Data Spaces, Policies, Requirements Engineering, Data Sovereignty, Design Framework.
Abstract:
Data sovereignty refers to the autonomy and self-determination of organisations when it comes to sharing data. The focus, thereby, is on the data usage conditions that are expressed as policies. Current research explores the structure of these policies, the processes related to data offerings and policy negotiations, and their enforcement using access and usage control methods. However, there is still a lack of a consistent and comprehensive understanding of data sovereignty among data-sharing participants across various system landscapes. First, we discuss the reasons for this issue and its significance in the context of dataspaces, then take a position. We present a model-based design framework encompassing different environments for describing sovereign data sharing. To conclude our contribution, we outline an approach for systematically eliciting and analysing data usage requirements, thus strengthening interoperability and trust.