Möller, JuliusJuliusMöllerFröschle, Sibylle B.Sibylle B.FröschleHahn, AxelAxelHahn2022-03-082022-03-082021-03International Conference on Wirtschaftsinformatik (WI 2021)http://hdl.handle.net/11420/11876In the age of Big Data, the amount of data-driven research activities has increased significantly. However, when it comes to collaborative data processing in scientific workflows, provenance information of the used data is not always accessible. Especially in complex data ecosystems with multiple decentralized data sources, it is hard to keep track of the processing operations once they are completed. When sharing such data between different researchers and other involved parties, poor traceability of processing steps may also obstruct this process. In this paper, we introduce a blockchain based data provenance information system, which enables decentralized sharing of this information. We then integrate this system into the decentralized data sources context and address trust and traceability issues in the network with an identity-based solution. Furthermore, the system’s performance is evaluated, and the concept is examined in a case study on the e-Maritime Integrated Reference Platform (eMIR).en2195-497620212238BlockchainData provenanceScientific data managementConference Paper10.1007/978-3-030-86800-0_2Other