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Business process modelling for a data exchange platform

: Quix, C.; Chakrabarti, A.; Kleff, S.; Pullmann, J.

Volltext (PDF; )

Franch, X.:
Forum and Doctoral Consortium Papers Presented at the 29th International Conference on Advanced Information Systems Engineering, CAiSE 2017. Proceedings. Online resource : Essen, Germany, June 12-16, 2017
Essen, 2017 (CEUR Workshop Proceedings 1848)
International Conference on Advanced Information Systems Engineering (CAiSE) <29, 2017, Essen>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer FIT ()

The digitization of companies and their business processes is a central component of Industry 4.0. Secure and trusted data exchange is crucial in this context, but providing data without sacrificing the control over their data is a challenge. The Industrial Data Space project seeks to define and implement such a platform supporting reliable, secure data exchange and governance enforcement among networked peers. In this paper, we report on our initial results in applying business process modeling for defining standardized processes in an open data exchange platform. We identified several participant roles and model their respective interactions. A transparent process modeling is expected to increase the trust in a data exchange platform and contribute to its acceptance and subsequent standardization.