UCL Data Management Plan Template

DOI

What is a data management plan?A data management plan is a document which outlines your data management and sharing activities both during the research project and then once it is complete. It is generally written at the start of a research project and should be revisited at different stages of the project and updated where necessary. DMPs may be published in the UCL Research Data Repository and assigned a DOI.Why are Data Management Plans useful?In addition to often being a prerequisite to receiving certain grants, DMPs are useful for:maximising the research potential of existing research outputs by reusing and repurposing themthinking about and developing your strategy for issues such as data storage and long-term preservation, handling of sensitive data, and sharing, early on in your research.anticipating legal, ethical and commercial exceptions to releasing data; deciding who can have access to data in the short and long term.estimating the costs associated with managing and sharing which can then be included in your project budget.InstructionsUse this template and the guiding prompts to help you write a data management plan. Adjust the response boxes as needed and you are welcome to share your plan with the Library Services Research Data Management team for feedback.

Identifier
DOI https://doi.org/10.5522/04/32659926.v1
Related Identifier HasPart https://ndownloader.figshare.com/files/65504463
Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/32659926
Provenance
Creator McMahon, Christiana ORCID logo; Buckley, Christine; Cable, Esther; Wallis, Kirsty ORCID logo
Publisher University College London UCL
Contributor Figshare
Publication Year 2026
Rights https://creativecommons.org/licenses/by/4.0/; http://purl.org/coar/access_right/c_abf2
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Data management plan; OutputManagementPlan
Discipline Computer Science; Computer Science, Electrical and System Engineering; Engineering Sciences; Humanities; Literary Studies; Research Data Management