May 19, 2025; Workshop
Nachvollziehbarer Umgang mit Forschungsdaten als zentraler Bestandteil Guter Wissenschaftlicher Praxis - Tag 1 (Workshop in German)
Data is an essential component of research and therefore invaluable for researchers. Whether small samples or ‘big data’ - the systematic and comprehensible handling of research data is a central component of good scientific practice. Systematic research data management offers support for daily research practice in the fulfilment of the good scientific practice (GSP) and thus enables the traceability, reproducibility and reusability of scientific research. In the course you can try out some best practices. Please bring your laptop with you.
Day 1: Introduction to research data management: securely storing, organising and retrieving research data: The first part offers an introduction to research data management (RDM), presents the aims of RDM, the FAIR principles, as well as important terms and methods. Practical information is provided on how researchers can quickly take their first steps in RDM, when RDM practices are useful in daily research practice and how checklists can provide support. You will learn how to store and share research data securely and how to name, structure and organise it in a comprehensible way and can try this out using your own data.
Registration (Workshop in German)
via the Graduate Academy (for GA members)
via the Service Center Research Data
This event is part of a series of further training courses on research data management organized by the Service Center Research Data in cooperation with the Graduate Academy. Further dates can be found on the websites of the Graduate Academy and the Service Center Research Data.
Service Center Research Data
Send encrypted email via the SecureMail portal (for TUD external users only).
Visiting address:
Strehlener Str. 14
01069 Dresden
Postal address:
TUD Dresden University of Technology Center for Information Services and High Performance Computing
01062 Dresden
Office hours:
- Monday:
- 10:00 - 11:30
- Tuesday:
- 10:00 - 11:30
- Thursday:
- 10:00 - 11:30
- Friday:
- 14:00 - 14:30
- 14:45 - 15:15