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Project eeFDM

Development of components for an effective and efficient research data management

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.

The project is funded by the Federal Ministry of Education and Research (BMBF) associated with the call on investigating the management of research data in their life cycle at universities and other research institutions (German).

Objectives and methods

Life cycle support for joint projects

  • Survey of demands of RDM processes of current projects at the Friedrich Schiller University, see report RDM at Jena university (German) presentation RDM for individual and joint projects (German)
  • Development, mediation and institutionalisation of RDM processes
  • Development of a building set for RDM processes, professionalising the current offers of consulting and coaching for researchers within projects of various sizes

Human resources development

  • Development of training courses for different target groups, e.g. data manager, project coordinators, scientific staff and (graduate) students, see presentation Development of RDM competences (German)
  • Development of training materials for basic teaching
  • Evaluation of teaching concepts and teaching materials

Quality assurance, archiving and publication

  • Development of a process model for quality assurance
  • Criteria for selection and assessment of research data for long-term archiving
  • Advising on publication of research data, see presentation on comparing research data repositories
Information
To rise awareness in researchers for data management and to communicate some basic topics, short promotional and educational videos shall be produced. For this, we are still looking for ideas and practice examples. Please visit the homepage of the subproject.
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