Welcome to the Thuringian Competence Network for Research Data Management

Coffee Lectures about Research Tools 4 All: Smart Solutions for Thuringian Scientists

TKFDM FAIR Assessment Tool

Take a look at our events for LOVE DATA WEEK in February!

TKFDM ("Thüringer Kompetenznetzwerk Forschungsdatenmanagement") is a contact partner for researchers of all Thuringian universities and colleges as regards research data management. This encompasses all aspects of data handling that emerge during research.

The TKFDM connects the Research Data Management Helpdesks of the Thuringian universities (University Erfurt, Technical University of Ilmenau, Friedrich-Schiller-University Jena, Bauhaus-University Weimar) and provides its services to all Thuringian colleges. We offer consulting and training regarding all aspects of the topic research data. Please contact us!

The competence network was founded in October 2018 and is funded by the Thuringian Ministry for Economy, Science and Digital Society (TMWWDG) as part of the Thuringian Strategy for the Digitalisation of Colleges for 2 years with a seed funding. Furthermore, the Thuringian universities contribute to the funding of the competence network.

The coordination office of the competence network is located at the Research Data Management Helpdesk at the Friedrich-Schiller-University Jena.

 

Development of the initiative:

News

TKFDM goes Love Data Week 2026

Under the motto “Where is the Data?”, the topic of research data will be celebrated from February 9 to 13.


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Merry Christmas and a happy New Year

TKFDM annual review and outlook for 2026

 


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Folder Structure Template

A new template for folder structures for anyone looking to get started with this topic...


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Events

Jupyter@NFDI4ING: Unterstützung wiederverwendbarer Workflows durch web-basierte interaktive Rechenumgebungen

This coffee lecture covers how Juypter can support your research...

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Wie erstelle ich barrierefreie Reports zu meinen Forschungsdaten in R?

This talk (in German) shows how to use R to create data reports

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FAIRify your Data 2.0

Erneut zeigen wir euch, wie man seine Datensätze bewerten kann!

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