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Research Data Management

This guide provides information on processes, procedures and policies with Regards to Research Data Management (RDM) and lists some tools and resources that support RDM.

What is Research Data Management?

While research projects have their own lifespan, research data can have a life beyond  its'  original project. Managing and sharing your research  data during and after your project is crucial to help develop new research and make a solid contribution to the scientific community. 

Research Data Management (RDM) involves organizing, documenting, storing, archiving, and sharing research data in a secure and accessible  digital environment. Managing research data is essential across the lifespan of a research project and especially during the research data life cycle. RDM aims to ensure the reliability of shared research data as well as verify and support research results. A Data Management Plan (DMP) outlines and explains what the data is, how it was collected and organisation, ethical clearance and permissions obtained, where the data is stored and how it is shared.

The Research Data Lifecycle

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