May 16, 2024; Workshop
An introductory workshop for taking the first steps in research data management - Bring your own data! (in German)
(please note that this workshop is in German)
Data is an essential part of research and therefore invaluable to researchers. Whether small sample or "Big Data", research data should be managed thoughtfully and systematically. Systematic research data management provides support for daily research practice and, in the context of good scientific practice, is a prerequisite for the reproducibility of scientific research and the re-use of data.
This beginner's workshop offers an introduction to research data management (RDM), presents the aims of RDM, the FAIR principles and other important terms and methods. Practical information is provided on how doctoral students can quickly take their first steps in RDM, at which points in their daily research practice RDM practices are useful and how checklists can support them.
Using your own data, you will learn how to store and share it securely, name it clearly, structure it and organize it.
Registration via the Graduate Academy
Bring your own data! This means that you will work directly on your own data, documents, folders, etc. during the course. Therefore, please bring your laptop.
This event is part of a training series on research data management organized by the Service Center Research Data in cooperation with the Graduate Academy. Further events 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
- Appointment: https://tud.link/ry4e
- Tuesday:
- 10:00 - 11:30
- Appointment: https://tud.link/ry4e
- Thursday:
- 10:00 - 11:30
- Appointment: https://tud.link/ry4e
- Friday:
- 10:00 - 11:30
- Appointment: https://tud.link/ry4e
- 14:00 - 15:00
- Sprechstunde: https://tud.link/tvqv3w