What does research data management entail along the life cycle of research data? In cooperation with HeFDI project partners, an online introduction was developed on all aspects of FDM, including further links and literature references on all topics.

Access only with fd number for employees and students of Fulda University of Applied Sciences.

Target group are

• Researchers (professors, research assistants, doctoral students) who produce, analyse and later share data themselves, and who may also re-use other data.
• Teachers, also for use in their courses
• Students who want to familiarise themselves with FDM (even before writing their Bachelor's or Master's thesis).

Content of the self-study unit:

1. Introduction to research data management
2. The life cycle of research data
3. The data management plan
4. Metadata and metadata standards
5. FAIR principles and CARE principles
6. Data quality
7. Data organisation
8. Data storage and archiving
9. Legal aspects of research data management

The training module is currently only available in german.