Research data management
Research Data Management (RDM) is essential for the effective organisation, analysis and storage of data generated during the research process. Adhering to the principles of good scientific practice in data management requires a lot of time and energy but results in many benefits. In addition to increasing the transparency of science and enabling further use of data, there are a number of positives for the researchers themselves, for example:
- RDM helps to anticipate problems that may arise during the research process;
- RDM ensures that the researcher has all the necessary equipment and support;
- RDM demonstrates the integrity of research and helps ensure that data are accurate, complete, reliable and FAIR, which can lead to increased citations and scientific prestige;
- RDM makes it easier to write articles and revise them;
- RDM reduces the risk of duplicate work, data mix-ups or loss, or security breaches;
- RDM allows you to defend your research results if they are challenged;
- RDM ensures the continuity of long-term projects involving rotating researchers (e.g., PhD students) and the consistency of projects involving multiple researchers;
- RDM ensures that the research project meets all conditions set by funders and publishers.
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