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What is Research Data Management?
Research Data Management (RDM):
- is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project.
- 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).
Why should I manage my data?
Managing data helps:
- to ensure research integrity and reproducibility
- to prove research findings
- to increase your own research efficiency and reliability
- to save time, prevent errors and resources in the long run
- to enhance data security and minimize the risk of data loss
- to ensure your data is accessible and shareable that will prevent duplication of effort by other researchers
- to prevent accidental breaches of privacy and ethical legislation
- to meet funding body grant requirements (if applicable)
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