Research data management (or RDM) is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project. It involves the everyday management of research data during the lifetime of a research project (for example, using consistent file naming conventions). It also involves decisions about how data will be preserved and shared after the project is completed (for example, depositing the data in a repository for long-term archiving and access).
Research data is any information that has been collected, observed, generated or created to validate original research findings. Although often digital, research data can come in a variety of formats. For example:
There are many reasons why research data management is important:
This video is part of MANTRA, the Research Data Management creative commons online course created by the University of Edinburgh Data Library |
In this 2 minute video, Professor Jeff Haywood talks about the importance of research data management.
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Policy on Managing Research Data at DMU
"De Montfort University is committed to research excellence and integrity and seeks to promote high standards of research data management throughout the research data lifecycle."
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