Research Data Management (RDM)

Research Data Management (RDM):

• is a term that describes the organization, storage, preservation, and sharing of data collected and used in a research project.
• 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).

RDM and Research lifecycle

RDM refers to the active curation of data throughout the research lifecycle.

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)