Research Data Management
Good research today must not only be rigorous, innovative and insightful - it must also be organized! Research processes increasingly generate and process large amounts of data that should be available for future use. Following FAIR principles, this data must be indexed, documented, archived, and reusable.
- Research Data Life Cycle
- Data Management Plans (DMPs)
- Metadata
- Legal Aspects
- Electronic Lab Notbooks (ELNs)
- Research Data Management Software
- Repositories