Research Data Management (RDM) considers the organization, storage and preservation of data created during a research project. It covers a wide range of activities such as initial planning, day-to-day processes and long-term archiving and sharing. This means that the list of benefits of doing this well is quite extensive as well. Here we provide a non-exhaustive list of benefits:

  • proper data storage and backup prevents data loss
  • making data understandable for others (and your future self) allows reuse and collaboration
  • proper data management is key to Open Science, since transparency and reuse of data is only possible using well-documented data
  • good RDM also helps to prevent misconduct since it helps to show the integrity of the data collection process
  • it makes research go more smoothly, allowing you as a researcher to focus on the problems of science rather than data administrivia (Briney, Coates, and Goben 2020)