Research Data Management (RDM) concerns the organisation, storage, preservation, and sharing of data that is collected and analysed during a research project. Proper planning and management of research data will make project management easier and more efficient while projects are being performed. It also facilitates sharing and allows others to validate as well as reuse the data.
The research data life cycle can be divided into several phases as seen in the wheel below;
plan, collect, process, analyse, perserve, share and reuse. Click on a section of the wheel
below to get an introduction to that phase of the
research data life cycle, including information on relevant resources and training material.
RDM life cycle from RDMkit licensed under Creative Commons Attribution 4.0 International License.
Click on either of the links below to get an overview of individual research data management topics.