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Entrepreneurship: Research Data Support

Research Data Management Library Guide

For all your Research Data Management information go to our dedicated library guide

Research data management

Welcome

What is Research data management (RDM)?
RDM can be defined as a process which consists of two components:

  1. Planning for the manner in which research data will be managed during and after the research process; and
  2. Controlling the collection, processing, analysis, sharing, dissemination, curation and reuse of research data

This guide will assist with the processes of both these components.

Why Research Data Management is needed

  • The benefits of publicly-funded research should flow back to the public 
  • Management of research projects in a more efficient manner
  • Compliance with research funder mandate
  • Compliance with legal and ethical requirements
  • In order to facilitate the reproducibility and re-usability of research findings
  • Duplication of research efforts can be reduced – along with the associated costs
  • Validation of previously published research

Goals of RDM

Researchers should take cognisance of the following goals of research data management: 

  1. Assurance that research data are capable of supporting analysis.
  2. Assurance that all operations performed on research data are traceable.
  3. Facilitating use of research data by people other than those involved in their original collection, generation, management and analyse.

    Source:
    Zozus, M. 2017. The Data Book : Collection and Management of Research Data. Boca Raton: CRC Press, Taylor & Francis Group.