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An agricultural data platform iStar model

 
: Braun, S.; Koren, I.; Dyck, M. van; Jarke, M.

:
Volltext ()

Guizzardi, R.:
13th International iStar Workshop, iStar 2020. Online resource : Proceedings of the Thirteenth International iStar Workshop co-located with 28th IEEE International Requirements Engineering Conference (RE 2020)
La Clusaz: CEUR, 2020 (CEUR Workshop Proceedings 2641)
http://ceur-ws.org/Vol-2641/
ISSN: 1613-0073
S.19-24
International i* Workshop (iStar) <13, 2020, Zürich>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()

Abstract
Organizations increasingly rely on external data and service exchange within business networks in order to fuel their analytics and artificial intelligence needs. In Industry 4.0 practices, new ecosystems have evolved, where data and service provisioning often happens within dedicated platforms. Hereby, the challenge lies in ensuring the data sovereignty of enterprises in terms of self-determination with regard to the use of their data. While conceptual modeling of these platforms inhabits a large number of opportunities, for instance, including automated generation of access policies, research in this area is scarce. To this end, we propose a bottom-up approach using the iStar 2.0 modeling language. In this paper, we first introduce a model describing the market participants of a data and service exchange platform in the realm of smart farming. We then generalize and provide a formalization of relevant aspects in a broader context. The resulting models serve both as a basis for discussion on the requirements analysis level and as fundamental groundwork for further value generation in the area of data sovereignty in complex cross-organizational settings.

: http://publica.fraunhofer.de/dokumente/N-614829.html