What is Research Data Management

Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results.

Research Data Management is part of the research process, and aims to make the research process as efficient as possible, and meet expectations and requirements of the university, research funders, and legislation.

It concerns how you:

  • Create data and plan for its use,
  • Organise, structure, and name data,
  • Keep it – make it secure, provide access, store and back it up,
  • Find information resources, and share with collaborators and more broadly, publish and get cited. 

"Research data management concerns the organisation of data, from its entry to the research cycle through to the dissemination and archiving of valuable results. It aims to ensure reliable verification of results, and permits new and innovative research built on existing information."

(from, Whyte, A., Tedds, J. (2011). ‘Making the Case for Research Data Management’. DCC Briefing Papers. Edinburgh: Digital Curation Centre. Available online)

"The scientific process is enhanced by managing and sharing research data. Good research data management practice allows reliable verification of results and permits new and innovative research built on existing information. This is important if the full value of public investment in research is to be realised. These principles have been recognised by key stakeholders: most Research Councils now have policies in place which encourage or mandate the creation of a research data management plan and the deposit of research data in a recognised data centre where such exist. Many leading journals require underlying datasets also to be published or made accessible as part of the essential evidence base of a scholarly article."

JISC 

The Digital Curation Centre (DCC) give an insight into the importance of providing access to research data and the risks of not managing data effectively. (video)