摘要：AbstractResearch databases are an important building block in eScience and computational science investigations. For enabling reproducible research, an approach is needed which supports the identification and citation of the exact data (sub)sets utilized in experiments. While this itself is a challenge, in many cases the data stored in databases is sensitive and needs to be protected. Due to the increasing complexity of eScience investigations, data is often integrated from different sources, potentially stemming from competing data owners. In order to achieve the research goals, the data needs to be combined and analysed as a whole. As data owners of such sources may have potential conflicts of interest in certain aspects, a mechanism is needed which prevents the retrieval and or recombination of privacy related data while still full access to own data must be granted at all times.
