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This document helps Horizon 2020 beneficiaries make their research data findable, accessible, interoperable and reusable (FAIR), to ensure it is soundly managed. Good research data management is not a goal in itself, but rather the key conduit leading to knowledge discovery and innovation, and to subsequent data and knowledge integration and reuse. Note that these guidelines do not apply to their full extent to actions funded by the ERC. For information and guidance concerning Open Access and the
Creator: Olga Krebs
Contributor: Olga Krebs
Our group develops computational models of the liver within the German systems biology projects VLN (Virtual Liver Network) and LiSyM (Systems Medicine of the Liver). In this talk we present our experiences in data and model management in recent years and future directions towards reproducible computational research we plan to implement.
We give an overview over the role of Fairdom and SEEK within our data management solution and how this integrates with and complements other approaches such as
Creator: Matthias König
Contributor: Matthias König