Research Data Management (RDM) underpins research excellence and ‘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’. (Whyte, A., Tedds, J. (2011) ‘Making the Case for Research Data Management’. DCC Briefing Papers. Edinburgh, Digital Curation Centre. Available online: http://www.dcc.ac.uk/resources/briefing-papers.
Good research data management covers a project from conception to delivery and enables staff and students to meet the requirements of the University’s Research Data Management Policy (ADD03), research funders and legislation.
Key Resources for Staff:
Research Data Explained – tutorial from the University of Edinburgh
Data Curation Lifecycle Model – graphical overview of the curation cycle from JISC and DCC
Data Management Plan resources – key resources from the DCC covering all aspects of data management planning. Includes the web-based planning tool DMPonline, How to Develop a Data Management and Sharing Plan, Checklist for a Data Management Plan and real-life examples.
If you have any queries, please email Victoria Watt (email@example.com).