Research Data Management

Reserach Data is virtually any output, input or discourse that researchers use or create in the course of research. Examples of research data include:

  • Excel spreadsheets and SPSS data sets with statistics or measurements;
  • lines of computer code used to trasform and manipulate data;
  • researcher field notes and transcripts;
  • digital images used in research or presetnations;
  • versions of academic papers;
  • etc.

Research Data Management (RDM) refers to the processes that are involved in creating, obtaining, transformng, shring, protecting, documenting, and preserving data. It incudeseverything from file naming conventions to policies and practices on creating metadata and documentation in the long term. RDM processes are also referred to as "data curation".

In 2011 Research Councils UK (RCUK) published the "Common Principles on Data Policy", which is an overarching framework for data policies of individual Research Councils. In the same year the Engeneering and Physical Sciences Research Council (EPSRC) published its own "Policy Framework on Research Data". The University needs to comply fully with EPSRC's framework by 1st May 2015.

The links below provide access advice and guidance on Research Data Management: