Research Data Management (RDM) refers to the series of measures that need to be taken during a research project in order to obtain high-quality data, make the data available and usable over the long-term, and make research findings reproducible beyond the research project (4).
RDM-Steps:
- Planning
- Data collection
- Data processing (incl. data documentation)
- Data quality control
- Data publishing & safeguarding access to data
- Data preservation (ensuring the long-term interpretability of data)
- Data reuse & search
Sources:
(4) Vandendorpe J, Lindstädt B, Shutsko A, Markus K. Online Training Workshop on Research Data Management in (Bio-)Medicine [Internet]. 2023 [cited 2023 Dec 15]. Available from: https://doi.org/10.4126/FRL01-006452660