Data Management Plans (DMPs) are living documents that explain:
The University of Bath Research Data Policy requires all new projects to have a Data Management Plan. Funders often have their own Data Management plan template (see UKRI Funder Requirements and Other Major Funder Requirements tabs) and many funders require a Data Management Plan to be submitted at the time of grant application. We provide extensive guidance on writing Data Management Plans for grant applications, and provide a Data Management Plan review service for plans required as part of grant applications. If your funder does not provide a Data Management Plan template you can use the University of Bath Data Management Plan Template.
If you are a Doctoral Student you are required to submit a Data Management Plan at the time of confirmation. We provide a self-paced online training course on Writing a University of Bath Data Management Plan (requires University of Bath login) suitable for staff and students. We also provide a Doctoral Data Management Plan Template and guidance on reviewing Doctoral Data Management Plans for supervisors.
Writing a Data Management Plan at the start of your project can identify potential issues you may encounter during your project and ensure that you have a plan to address these before they result in delays during your project or at the point of publication. Data Management Plans are particularly useful if you are conducting collaborative research.
Making sure that you are complying with funder, legislative or contractual obligations;
Ensuring that you have sufficient active data storage space or funding for additional storage space;
Having a system for documenting your data so that you, your collaborators and other researchers can understand your data in the future;
Establishing mechanisms for the secure transfer of data to collaborators;
Making sure that your data are saved in formats that are suitable for preservation and sharing with other researchers;
Ensuring that the process of depositing your data in a data archive is efficient and not unnecessarily time-consuming;;
Enabling your data to be discovered and used by others, for you to be credited for it's generation, and therefore increase the impact of your research.