نبذة مختصرة : The advance of precision medicine depends on the availability of data that is continuously being generated in universities, research centres and hospitals world-wide. That data represents 1) the diversity of the human genotypes and phenotypes and 2) the diversity of ways diseases unfold in human beings. To make more data available it is important to improve the automation of the management of data, the discovery of data that could be reused, and the process of actually sharing the data. This thesis contributes to all these aspects focusing on both, data controllers and data consumers. To facilitate data management, EGA and Federated EGA are introduced as an example of standard integration. To facilitate data discovery, the Beacon version 2 protocol and an implementation of it are provided. To facilitate data sharing, harmonization of the data use conditions and a categorization, simplification, of the levels of access is suggested.
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