A Data Management Plan (DMP) typically describes what research data will be created during the course of a research project, how it will be created, plans for sharing and preserving the data and any restrictions that may need to be applied. A DMP may ask you to consider things such as:
- What type of data you will collect
- How and where you’ll store that data
- Who will have access to it
- How you’ll address any legislative requirements
- Any agreements about ownership of the data between collaborators
- How, where and when you’ll share your data at the end of the project
Useful resources on Data Management Planning
- UK funder requirements for Data Management Plans [webpage] Downloadable templates based on the requirements of UK Research Councils and other charitable or health funders.
- US funder requirements for Data Management Plans [webpage] A summary of requirements from the NSF, NIH and other key funders in the USA.
- DCC Checklist for a Data Management Plan [PDF, 3 pages] A list of 13 questions and associated guidance, that represent the main issues to come up in Data Management and Sharing Plans. The Checklist is used as a generic template in DMPonline, and is presented when no funder or organsiational requirements are applicable for the user.
- How to develop a Data Management and Sharing Plan [PDF, 8 pages] A guide by the Digital Curation Centre that outlines typical funder requirements for DMPs and the types of considerations to make when responding.
Example Data Management Plans
- RIOjournal Data Management Plan collection [webpage] A selection of DMPs published in the Research Information and Outcomes journal.
- Technical plan submitted to the AHRC [PDF, 7 pages] A DMP submitted by a researcher from the University of Bristol, also including comments from the reviewers.
- Two social science DMPs [PDF, 7 pages] Example plans from researchers at the University of Leeds, shared as part of the Leeds RoaDMaP training materials.
- Colorado School of Mines examples [webpage] A variety of US example DMPs from Mines and elsewhere.
- NSF data management plans [webpage] 5 DMPs submitted to the NSF, shared by the DataOne initiative.
- Further examples are available on the DCC website.
Useful guides on Research Data Management in general
- Research Data MANTRA [online resource] An online training course designed for researchers or others planning to manage digital data as part of the research process. The course includes a number of software practicals on using SPSS, R, ArcGIS and NVivo.
- Managing and Sharing Data: best practice for researchers [PDF, 36 pages] A guide by the UK Data Service covering a range of topics including data formats, documentaion, ethics, copyright and data sharing.
- How to Cite Datasets and Link to Publications [PDF, 12 pages] A guide by the Digital Curation Centre giving practical guidelines on how to cite data and the different tools and infrastructure that can be used to support data citation.
- How to License Research Data [PDF, 16 pages] A guide by the Digital Curation Centre that outlines different types of licenses, the pros and cons of each and how they can be applied.
- How to Appraise and Select Research Data for Curation [PDF, 8 pages] A guide by ANDS and the Digital Curation Centre on how to select which data to keep for long-term preservation, sharing and reuse. The guide puts forward several criteria to aid selection decisions.
DMP online is a tool that generates active a data management plan. You can use it to develop your plan and export it as a word or pdf document for local use.