What is research data management?

Research data management (RDM) refers to the organisation, storage and preservation of data created during a research project.

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About research data management

RDM covers initial planning, day-to-day processes and long-term archiving and sharing. Research data can take many different forms, but is essentially the evidence used to inform or support research conclusions.

Some examples of research data are

video and voice recordings
questionnaires and interview transcripts
test results held in text files and spreadsheets
archive materials and handwritten notes
code and software
photographs and slides
laboratory notebooks

There are many potential benefits of good research data management for you, other researchers and the wider community. These include

efficiency and ease of data control, with reduced risk of data loss
greater visibility of data, leading to increased citations and future collaborations
demonstration of research integrity and validation of research results
compliance with funder and institutional policies and expectations
greater impact of research through knowledge transfer
research advances through reuse of data by researchers around the world