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

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Your access to TUM DataTagger

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

TUM DataTagger Login [2]

✓ Easy data upload   ✓ Unlimited metadata assignment   ✓ Collaborative data management

What is TUM DataTagger?

The TUM DataTagger is the central platform for collaborative research data management (RDM) at TUM. This web-based tool allows you to 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.

Features

Practical Metadata Management

• Create metadata templates for a standardized vocabulary
• Flexible metadata assignment
• Annotate single files or in bulk
• Automated metadata assignment in projects and folders

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

• Storage in the Munich Science Network (MWN)
• Data loss protection with regular backups
• 50 GB tool storage per user
• Hosting on servers of the Leibniz Supercomputing Centre (LRZ)

Conception & Development

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

Conception: University Library, Department of Research Data Services
Development: ANEXIA® Internetdienstleistungs GmbH
Host: Leibniz Supercomputing Centre (LRZ)
Repository: GitHub

Support

For questions or suggestions regarding the TUM DataTagger, please visit our Wiki on BayernCollab [3] or contact datatagger@ub.tum.de [4].