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The wide variety of scientific user communities work with data since many years and thus have already a wide variety of data infrastructures in production today. The aim of this paper is thus not to create one new general data architecture that would fail to be adopted by each and any individual user community. Instead this contribution aims to design a(More)
—Scientific data sharing services are becoming an essential tool in data driven science and can significantly improve the scientific process by making reliable and trustworthy data available, thereby reducing work redundancy, and providing insights on related research and recent advancements. For data sharing services to be useful in the scientific process,(More)
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