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Research Data Management (RDM)

The Serviceteam RDM∂KIT sees itself as a partner in science and research. Provided services such as training and support assist with the handling of research data.


The Serviceteam RDM∂KIT sees itself as a partner in science and research. We at KIT support you in sustainable research data management, starting with consulting for the application of your scientific projects up to the publication and archiving of your research data. Should you have any questions or inquiries, seek advice or be interested in training - please get in touch with us at: contact∂


Research data management (RDM) is one of the important prerequisites of scientific activity, a requirement of many funding agencies and is both part of Good Scientific Practice and embedded in many institutional RDM and Open Science Policies.

RDM concerns all phases of the research process with the aim of securing and storing data in a long-term and person-independent manner in accordance with the FAIR Principles in a way that is findable, accessible, verifiable, and interoperable. The Research Data Lifecycle displays the stages of research data management. The Serviceteam RDM∂KIT offers services and tools for each phase of your research project.

Consulting and Training

The Serviceteam RDM∂KIT offers:

Verification, storage and archiving

  • Comprehensive references to general and subject-specific research data repositories are available at re3data.
  • Research data storage and collaborative work on data via RADAR4KIT.
  • Storage of your final and published research data via the KITopen repository.
  • Archiving of your research data in bwDataArchiv.
  • Verification of research data for HGF reporting via the KITopen repository.
  • Research data for HGF reporting: See KITopen repository.