Introduction to research data management
This interactive Moodle course was jointly developed in HeFDI - Hessian Research Data Infrastructures and answers questions such as: "What is research data management? Why is it important? Research data management and third-party funding applications - yes, but how?"
Current topics relating to RDM are illustrated using videos, quizzes and numerous examples of good practice. The chapters build on each other thematically, but can also be used and worked on individually.
- Introduction to research data management
- The life cycle of research data
- The data management plan
- Metadata and metadata standards
- FAIR principles and CARE principles
- Data quality
- Data organization
- Data storage and archiving
- Legal aspects of research data management
- Researchers (professors, academic staff, doctoral candidates) who produce, analyze and later share data themselves, and possibly also reuse other data
- Teachers, also for use in their courses
- Students who want to familiarize themselves with RDM (even before their Bachelor's or Master's thesis)