Research Data Management
Research data are a central element of scientific work and play an increasingly important role in everyday research. But what exactly do we mean by research data and how is a practical (research) data management (RDM) structured?
Introduction
Content
- Basics of RDM
- Tools for researching, planning and publishing data
- Best practices to the handling of data and files in general and can, for example, prevent data loss.
Target group
Graduates and doctoral students
Schedule
Course language: German
Monday, October 13 2025: 2.15 - 3.45 pm, link for registration
Course language: English
Tuesday, October 14 2025, 4.15 - 5.45 pm, link for registration
Location
The training takes place on-site in the University Library Training Room (Zentralbibliothek, ground floor, room F002) and online as a webinar.
To the library training room in the LMU room finder
RDM for (Bio-)Medical Sciences
These subject-specific courses have already taken place:
- RDM for (Bio-)Medical Sciences: Data Management Plans
- RDM for (Bio-)Medical Sciences: Data Sharing & Publication
Further dates can be offered on request by individual arrangement. Please contact the University Library's RDM consulting team: forschungsdaten@ub.uni-muenchen.de.
