Research data management (RDM) in modern scientific contexts is faced with more and more heterogeneous tasks and responsibilities. An effective and efficient RDM encounters these challenges, and research data all over their life cycle, with a concept that meets current standards and makes use of synergies in the same instance. The diverse nature of research data raises the question of whether universal principles can be applied to the needs of individual researchers. The project at hand analyses different approaches on various levels (from joint research projects to single researchers) and transfers them to the areas of sustainable research data management, human resources development and teaching. Finally, these insights are meant to contribute to the national RDM infrastructure.
Life cycle support for joint projects
Human resources development
Quality assurance, archiving and publication