Research data management does not begin and end with data collection – it follows a sequence of steps, from planning to publishing and re-use, commonly referred to as the research data lifecycle. Find out how RDM supports each stage of the data lifecycle and why it is important to start planning it well before the project begins.
Research Data Management (RDM) has been part of good scientific practice for a while now. A requirement by many funding bodies, it also has become a standard in research institutions. This blog series, will show the key principles of RDM and how it benefits one`s research project. In the first post, the author breaks down what research data management is (and isn’t) and why it is something that every research projects needs.
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