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Phone +49 89 189 659 220
information@ub.tum.de

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Research Data Services
researchdata@ub.tum.de
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Research Data Management

Research Data Services of the University Library form TUM Research Data Hub in cooperation with the Munich Data Science Institute (MDSI) – the central point of contact for research data management issues at TUM. In addition to training and networking events, we support the entire data life cycle of research projects.

TUM Research Data Hub

Overview

Training
Infrastructure & Tools
Support & Information
 

Training

We want to promote data literacy and offer free training for beginners and advanced students and researchers.

Research Data Management Essentials

The training Research Data Management Essentials – Sustainable Data Handling in Research is an introductory course. Learn how to sustainably handle research data and which infrastructure offers can support you. We explain third-party funders' requirements for RDM and how to implement them.

Applied Data Management Seminar

Become an expert in research data with the Applied Data Management Seminar – Professional Research Data Practices in Projects! In this one-semester intensive program, you will gain in-depth knowledge on research data infrastructure. You will develop solutions for subject-specific requirements of research data management and be empowered to support other researchers in your field in dealing with data.

Couldn't find a suitable training program?

We design customized training for research data management – lecture modules, workshops, face-to-face or online training! Contact us at researchdata@ub.tum.de

 

Support & Information

From the application to the long-term storage of your research data – we have information and support offers available for you for every phase of the research data cycle:

1. Submit application & planning
Information research data management and data management plan.
2. Store & manage data
Tools for documentation, management and storing
3. Archive data
Recommended file formats and archiving solutions
4. Publish & share data
Formalities and infrastructure for data publication
5. Reuse data
Handling of secondary data and legal framework
 

Infrastructure & Tools

Manage, document, publish, and archive – we recommend infrastructure and software for sustainable research data management at TUM.

  • TUM DataTagger
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  • Storage solutions
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