Building on the theoretical foundations of Module 1, Module 2 focuses on the practical aspects of research data management. The module consists of four interactive workshops, complemented by guest lectures, that guide participants through concrete steps of handling research data. Topics include science evaluation, research data collection and storage, FAIR principles, repository and data maintenance, data archiving. By actively working with real examples, participants will not only learn best practices but also practice creating their own data records in a repository.
Upon completion of Module 2, participants should be able to:
- Identify relevant scientific databases, citation tools, metrics, and licences related to their research.
- Organize and describe research data according to FAIR principles and distinguish among the best practices of research data management.
- Develop and critically assess a data management plan.
- Use a trusted repository while preparing their research data, including metadata and documentation, for sharing and archiving.
Apply acquired knowledge in practice by depositing their own dataset in a repository.