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Goal-oriented modelling of relations and dependencies in data marketplaces

: Chakrabarti, A.; Quix, C.; Geisler, S.; Pullmann, J.; Khromov, A.; Jarke, M.

Volltext ()

Goulão, M.:
iStar 2018, Eleventh International i* Workshop. Online resource : Proceedings of the 11th International i* Workshop co-located with the 30th International Conference on Advanced Information Systems Engineering (CAiSE 2018) Tallinn, Estonia, June 12, 2018
La Clusaz: CEUR, 2018 (CEUR Workshop Proceedings 2118)
ISSN: 1613-0073
7 S.
International i* Workshop (iStar) <11, 2018, Talinn>
International Conference on Advanced Information Systems Engineering (CAiSE) <30, 2018, Tallinn>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()

Data exchange between companies is becoming more important in a digitized economy. Business models are created for providing, enriching, or using big data in various domains. Although there are some success stories in this area, companies are still struggling to define goals and strategies for a successful participation in a data marketplace. Especially, companies from classical business domains such as automotive, mechanical engineering, or life sciences could benefit from a secure and trusted data exchange as it supports data-driven business processes. In this paper, we model goals and strategic relationships of actors of a data marketplace using i. The model can be used as a blueprint by a company to identify their strategy and to determine the objectives to establish a successful data-driven business. We also presented the model for our case study from the medical domain.