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Research Data is any output that is derived from research including, but not limited to: Spreadsheet data, code, images, video, audio files, 3D visualizations, map data, posters, and presentations.

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).

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Research data management saves time and prevent errors. Well-managed and accessible data allows others to authenticate and duplicate findings. Data management involves collecting, storing, organizing, protecting, verifying, and processing essential data and making it available to your organization.

Managing data helps :

• to prevent loss of data
• to prove research findings
• to prevent the costly repetition of data collection
• to prevent accidental breaches of privacy and ethical legislation
• to improve your research reliability

• to ensure your data is accessible and shareable