DataPreTest, DatauntilSeptember, Datafinal_2: These or similar folder designations can be found on many scientists' computers. But which of this data is actually relevant for an article publication? Does the knowledge about it still exist three years later? Does my data management comply with the rules of Good Research Practice? Is it possible to share data in such a structure with colleagues?

Research data management (RDM) starts at the beginning of data acquisition and on your own computer. In order to learn the most important techniques of RDM on your own computer and to avoid data chaos, the working group Scientific Computing offers a workshop on research data management.

The workshop consists of content-related discussions that link the principles and techniques taught with the participants' everyday scientific work, as well as some practical parts in which the methods learnt are to be applied to a realistic data set. In this way, the participants understand what is important, what difficulties poor data management can cause and how to prevent this. The aim of the practical elements is to convert a dataset into a publishable format and treat it in accordance with the FAIR principles.

• Course organisation
  • 2 half days (3 - 4h) course
  • Practical part and discussion
• Topics
  • RDM basics, FAIR principles, metadata, standardisation, storage, UOL systems
  • Open Science, legal aspects, personal data
  • Data publication, data repositories, Dare (UOL data repository)
• Target audience
  • Anyone who collects their own research data (especially PhD-students)
• Dates
  • Planned for the winter semester 24/25 in OLTECH