Events
On these pages you will find all events of the network – compact, up-to-date, and clearly presented. The corresponding materials can be found on the respective event page or at a glance in the event materials.
Throughout the year, free introductory courses on research data management are also offered, which are open to all researchers at Thuringian universities. If you are interested, please register for the event at the respective location:
- 05.+07.05.2026: Introductory course organized by TKFDM (2x 4h, German, online), registration: Link
- 11.06.2026: Introductory course on RDM at the University of Weimar (2.5h, German, online), registration: Link
- 15.+17.06.2026: Introductory course for natural, environmental, and life sciences at the University of Jena (2x 4h, German, on-site), registration: Link
- 10.12.2026: Introductory course on RDM at the University of Weimar (2.5h, English, online), registration: Link
In addition to the events listed here, we also offer trainings, workshops, train-the-trainer workshops, and information sessions for various target groups (students, doctoral candidates/postdocs, project/group leaders, research coordinators, etc.) throughout Thuringia upon request. Feel free to contact us if you are interested!
We would also be happy to keep you informed about our events via our mailing list. You can subscribe here:
Events
Coffee Lecture: Forschungsdaten publizieren, lizenzieren und nachnutzen
A coffee lecture about handling research data after the end of the project!
Coffee Lecture: Forschungsdatenbeschreibung - Das Anlegen von Codebooks und Readme-Dateien
Eine Coffee Lecture über das Dokumentieren von Daten mit Codebooks und Readme!
Coffee Lecture: Datenverarbeitungsprozesse planen und dokumentieren
A coffee lecture about the analysis and processing of data!
Coffee Lecture: Digitale Daten - Der richtige Typ zu ihrem Format!
A Coffee Lecture on Data Types and Formats!
Coffee Lecture: Planung einer effizienten, ethischen und rechtskonformen Datenerhebung
A coffee lecture on proper data collection in the social sciences!
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