What is TUM DataTagger?
TUM DataTagger makes documenting research data easier.
This online platform is the sustainable and efficient solution for research data management at TUM.
Developed in close coordination with TUM researchers, its features are tailored to meet research-specific requirements.
With this web-based tool, you can easily
- upload,
- structure,
- version,
- share, and
- annotate your data with metadata.
Structured data management, flexible data exchange, and transparent rights management support seamless collaboration
within research groups and projects – fully functional and DFG-compliant.
Login
The first version of TUM DataTagger is available for all TUM members and their project partners:
Log in via TUM-ID in TUM DataTagger
External project partners need to be added to a project to receive an invitation email with login information.
Contact
For questions or feedback, feel free to contact
the TUM DataTagger-Team by mailing to:
Further Information
TUM DataTagger on GitHub (soon)
News
To stay informed, click on the eye (“Beobachten”, top right).
15.05.2025 New feature: Example metadata template
A globally available example for a metadata template has been added. It shows all possible types of metadata fields.
Please do not activate it in your projects or folders! It should only provide an overview on the functionalities and field types.
06.05.2025 New feature: Search filter for file lists
The latest release (v1.1.4 Amethyst) gives you the possibility to filter your file lists by a name or metadata value.
Just type in a word in the search bar above your file list!