The 9 Golden Rules for good Research Data Management

Updated on 08 Apr 2021 | Published on 06 Apr 2021

As a researcher, you may have heard about Research Data Management (RDM). But what does it entail? And what is expected of you as a researcher?

RDM is about the careful handling and responsible management of research data throughout the research life cycle. It includes the organization, documentation, protection, storage, backup, and archiving of research data. Proper management of research data ensures that your research is verifiable and that your research data are FAIR (Findable, Accessible, Interoperable, and Reusable). RDM also has many benefits for you as a researcher. It helps prevent errors, increases data quality, and facilitates the sharing of your research data.

 

Do you want to properly manage your research data, but don’t you know how to get started? Check out the 9 Golden Rules for good Research Data Management and don’t hesitate to contact one of the data stewards.

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