Who we are

The Helmholtz Metadata Collaboration (HMC)  is part of the Information & Data Science Incubator in the Helmholtz Association of German Research Centres.

HMC facilitates the discovery, access, machine readability, and reuse of research data of the Helmholtz Association.

This dashboard was initially developed by HMC Hub Matter  located at the Helmholtz-Zentrum Berlin für Materialien und Energie GmbH. As the project progressed it was later supported with contributions by HMC Hub Aeronautics, Space and Transport (AST)  located at the German Aerospace Center (DLR).

The HMC-instance of the dashboard is accessible at https://fairdashboard.helmholtz-metadaten.de .

Please contact us if you have any questions, suggestions, or if you are interested in contributing to further developments.

Project repositories

The project is divided into two project repositories:

• HMC Toolbox for Data Mining (see project repository  and software publication )
• HMC FAIR Data Dashboard (see project repository  and software publication )

The documentation for these two projects is separated in the tabs “Toolbox” and “Dashboard” at the top of this page.

How to cite this work

Scientific papers

• Kubin, M., Sedeqi, M.R., Schmidt, A., Gilein, A., Glodowski, T., Serve, V., Günther, G., Weisweiler, N.L., Preuß, G. and Mannix, O. (2024) “A Data-Driven Approach to Monitor and Improve Open and FAIR Research Data in a Federated Research Ecosystem”, Data Science Journal, 23(1), p. 41. Available at: https://doi.org/10.5334/dsj-2024-041 .

Software publications

• Preuß, G., Schmidt, A., Gilein, A., Ehlers, P., Glodowski, T., Serve, V., Sedeqi, M. R., Mannix, O., & Kubin, M. (2026). HMC Toolbox for Data Mining (3.0.0). Zenodo. https://doi.org/10.5281/zenodo.18302146 
• Sedeqi, M. R., Preuß, G., Gilein, A., Glodowski, T., Ehlers, P., Serve, V., Schmidt, A., Mannix, O., & Kubin, M. (2026). HMC FAIR Data Dashboard (3.0.0). Zenodo. https://doi.org/10.5281/zenodo.18302184 

Data availability

• A selective export of the dataset included in the dashboard is published on Zenodo  and will be updated in regular intervals.

Disclaimer: Please note that the list of data publications obtained from the automatized harvesting approach described above is neither complete nor entirely free of falsely identified data. If you wish to reuse the data shown in this dashboard for sensitive topics such as funding mechanisms, we highly recommend a manual review of the data. We also recommend careful interpretation of scores derived from the automatized F-UJI framework. These scores can be useful in providing guidance for improving the FAIRness of data and repository infrastructure, respectively, but is limited to selected aspects and, hence, cannot truly assess how FAIR research data really is.