Researchers put a great deal of effort into seeking out and discovering data that will be useful for their study. However finding data is just one part of the general research process and it is important to also think about how such materials will be used and stored during the course of a research project. Thought should also be given to the long term preservation, security and access to such material once a study has been completed.
Most of these issues are addressed by a broad range of principles and services which are referred to as research data management (RDM). These principles are intended to help researchers get the maximum use out of the research materials they are working with and to avoid many of the common problems of working with digital data.
This includes advice on:
- creating data management plans to organise your data
- appropriate data access and security options during a project
- dealing with data loss or digital obsolescence
- effective archiving of data after a project concludes
- complying with funders and publishers expectations on preserving and sharing data
Research Data Oxford
Traditional research outputs such as project reports, monographs, journal articles and publications rely on the effective use of research data and analysis. However in many cases it is now possible to view the research data (or dataset) as a valuable and citable research output in itself.
These topics are explored in more detail on a dedicated website on research data management called Research Data Oxford.