Ressources for research data management at Hannover Medical School

Consulting for research projects

Our central point of contact for questions regarding research data management provides advice and, if necessary, refers you to other entities within MHH providing suitable services.

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Publication of research data

Third-party funders and publishers often require research data to be published with open access. With RepoMed, our university's publication server, you have the possibility to publish your…

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MHH IT - Services for researchers

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Medical Data Integration Center (MeDIC)

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Clinical Research Center Core Facility (CRC CF)

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Research data management at MHH

Please take MHH's principles for handling research data into account. Central services and infrastructure for research data management supports you in all phases of the research project. MHH's institutions master relevant standards, interfaces, and best practices for various forms of data.

Several entities of Hannover Medical School continuously expand their research data management services in close coordination with each other and in dialog with the scientists. MHH cooperates with relevant working groups and infrastructure initiatives in research data management at regional, national and international level in order to ensure up-to-date research data management services compatible with international research networks (e.g. AG FDM Niedersachen, NFDI, Medical Informatics Initiative, Network University Medicine, German Biobank Alliance). If you have any suggestions or requests, please do not hesitate to contact us.


From large research networks (SFBs, EXC, TRR, ...) to smaller research projects, the MHH has various infrastructures and services to support you in research data management. As the central point of contact for MHH's researchers, we offer general advice and refer you to services and infrastructures within the MHH suitable for your project. If required, we also provide support in writing grant applications (with regard to research data management).

Our consulting programme addresses:

  • Requirements of the research project from a data science perspective
  • Selection of data collection tools
  • Planning/structuring of data sets
  • Standard-based semantic annotation of data (metadata)
  • FAIR principles
  • Support in the creation of data management plans
  • High Performance Computing (HPC), data analysis, ML und AI methods



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