Speakers: Elena Schick & Tuba Güden-Silber | Research Data Services, RUB
Target audience: Doctoral students, postdocs, professors, research administrators, staff at support services, newcomers
Location: Online
Research data forms the foundation of scientific progress and is essential for publications. In your day-to-day research, you have likely experienced situations where important data for your publication suddenly could not be found, existed in multiple versions, or was even accidentally overwritten. Avoiding such situations is one of many aspects of structured research data management (RDM). A well-organized RDM system helps you (significantly) ensure the long-term preservation of your work. In this course, you will learn
- what RDM is and why it is helpful for your scientific work.
- to understand the FAIR principles (Findable, Accessible, Interoperable, Reusable) and how to apply them in practice.
- how to efficiently structure, organize, and manage your research data.
- how to work collaboratively with multiple project partners on research data.
- which tools make it easier for you to handle research data in your day-to-day work.