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Comprehensible handling of research data as a central component of good scientific practice - Day 1 (Workshop in English)
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.
Day 1: Introduction to research data management: securely storing, organizing 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 organize it in a comprehensible way and have the opportunity to discuss this with respect to your own data.
Registration (workshop in English)
- 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.