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Welcome to the Data Knowledge Hub!

Cultivating Research Integrity and Reproducibility​

High-standard Research Data Management (RDM) is not just a compliance requirement, but a foundational skill set that ensures the long-term impact, traceability, and reproducibility of your work. The TUM Research Data Hub, a collaboration between the University Library and the Munich Data Science Institute (MDSI), provides the expertise and infrastructure to support you through every stage of the research life cycle.

This Knowledge Hub offers a comprehensive ecosystem of resources focusing on:

1. Central Point of Contact and Support​

  • Consulting and Data Stewards: Benefit from expert know-how by requesting a dedicated Data Steward for project-related RDM support.
  • Lifecycle Support: Targeted information for all phases: from Planning (DMPs) and Analysis to Archiving and Publication.
  • Training: Programmes ranging from RDM Essentials to technical workshops and seminar on different softwares and tools.

2. Infrastructure & Technical Solutions​

We recommend and support digital solutions tailored to the TUM environment:

  • eLabFTW: The official electronic lab notebook (ELN) for structured and secure documentation.
  • DataTagger: Central open-source tool for collaborative data annotation, versioning, and sharing.
  • mediaTUM: TUM’s institutional repository for publishing and archiving citable research data (DOIs).
  • Storage Solutions: TUM offers a range of storage solutions for research data - from cloud-based space for active (“hot”) data and collaborative work to large-scale archives for finished (“cold”) data.

3. Best Practice & Community Exchange​

  • TUM Guidelines: Adhering to the TUM Guidelines for Handling Research Data to ensure transparency and sustainability.
  • Network & Events: Join the NFDI Round Table or Industry Expert Talks to share experiences and tackle data challenges with fellow researchers.
  • Domain-Specific Support: Tailored methodologies for specialised fields, particularly in data-intensive areas like Bioinformatics and Engineering.

Get Started: Explore our General Knowledge or dive into Bioinformatics Specific Knowledge.