All research projects generate data, “the recorded information (regardless of the form or the media in which they may exist) necessary to support or validate a research project’s observations, findings or outputs“ (cf. The University of Oxford Policy on the Management of Data Supporting Research Outputs).
Good data management practices help organise, store, and retrieve data for use during the project, and after it is completed.
To find out more about the principles behind data management go to:
Data management planning is a key stage in preparing and delivering a research project outlining how digital materials will be processed, analysed and generally handled. This plan will vary in style and content depending upon the discipline and nature of the project.
In-depth consideration of the role of this documentation is offered through Bodleian iSkills and OU IT Learning centre, and is covered on the Research Data Oxford website. Additional DMP related information is available on the latter including links to more examples and information on the role and expectations of funders, publishers and repositories.
See below some examples of Data Management Plans (DMPs) -