| Time: | January 14, 2026, 3:00 p.m. – 4:30 p.m. |
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This course will present the basics of research data management (RDM). You will learn the most important aspects of RDM and we will explain requirements by third-party funders and how you can best fulfill those requirements.
Data is an essential component of research and therefore invaluable for researchers. Whether small samples or "Big Data" - the systematic and transparent handling of research data is a central element of good scientific practice. Systematic research data management provides support for daily research activities in fulfilling good scientific practice (GSP) and thus enables the traceability, reproducibility, and reusability of scientific research. It can also facilitate collaboration within groups.
The presentation is aimed at those responsible for RDM as well as research group leaders.
This presentation offers solutions to the following questions about RDM:
- How do you create a joint research data management system in a working group or professorship?
- How can shared data, documents, metadata and documentation be stored, structured and organized securely and comprehensibly?
- How do you maintain motivation in the working group to adhere to agreed RDM processes?
Target audience: Researchers
Lecturer: Service Center Research Data, SLUB Dresden
Date: 14.01.2026 15:00 - 16:30 Uhr
Previous Knowledge: none required
Tool: Zoom