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TUM DataTagger

Efficient and collaborative research data management with TUM DataTagger. Upload, structure, share, and annotate your data with metadata – all in one centralized web-based open-source tool. Secure and compliant with DFG standards.

What is TUM DataTagger?

The TUM DataTagger is the central platform for collaborative research data management (RDM) at TUM. This web-based tool lets you easily upload, structure, version, share, and annotate your data with metadata. Its transparent rights management enables flexible assignment of access and editing rights for all project partners. With the TUM DataTagger, collaboration in interdisciplinary teams is efficient, secure, and compliant with DFG guidelines.

Pro tip: Use the electronic laboratory notebook TUM eLabFTW to document the creation of research data and then manage it efficiently with TUM DataTagger.

Access to TUM DataTagger

Take your research data management to the next level with TUM DataTagger. Log in with your TUM-ID and create your project!

Go to TUM DataTagger

Features

Practical Metadata Management
  • Create metadata templates for a standardized vocabulary
  • Flexible adaptation of metadata templates to changing requirements
  • Application of metadata templates to individual files or entire folders and projects
  • Automated metadata assignment in projects and folders through default population of metadata fields

Efficient Collaboration
  • Interoperability for importing and exporting files, including assigned metadata
  • Versioning of files and associated metadata
  • Granular access and editing rights for TUM members and external project partners
  • Context-based search and filter options

Secure Storage
  • Hosting on the servers of the Leibniz Supercomputing Centre (LRZ)
  • Data loss protection with regular backups
  • 50 GB tool storage per user (expandable)
  • Option to integrate project-specific storage (DSS containers at LRZ)

A cartoon-style scientist sits at a desk with a computer, looking toward a smiling, floating character in front of colorful shelves filled with labeled folders and boxes. A play button overlays the scene, and a TUM logo appears in the top-left corner.
Urheber / Rechteinhaber
Universitätsbibliothek

Course

TUM DataTagger Essentials

Attend our webinar TUM DataTagger Essentials – Manage and Share Research Data, and gain hands-on insights to optimize your collaborative research data management.

Dates & Registration

Support

The TUM DataTagger is a web-based open-source software developed by the university library to meet the specific needs of researchers.

Co-Development: ANEXIA® Internetdienstleistungs GmbH
Host: Leibniz Supercomputing Centre (LRZ)
Repository: GitHub

Visit the help pages of the TUM DataTagger Wiki.

For questions or suggestions on TUM DataTagger, please contact:
datatagger@ub.tum.de