Skip to main content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
What is a Data Management Plan?
A Data Management Plan (DMP) is a document that outlines how you/your research group plan to collect, store, protect, analyze, and share your research data. If you are applying for a grant your funding agency may require a DMP, but even if one is not required it is a useful tool to help you formalize, organize, and remember your planning process and ultimately conduct your research more efficiently.
A DMP will include:
- Roles and responsibilities
Who has primary responsibility for the data? What other people are involved in the research and what are their responsibilities?
- Data descriptions
Explain what data will be generated by your research (e.g. images, audio files, questionnaire responses, etc) and how each type will be captured. Will you be using newly generated data, pre-existing data, or both?
- Data formats and metadata
What file formats will you use? Will you use existing metadata standards or create your own? How will you ensure data quality?
- Access and privacy
Who will have access to the data during the research and how will you protect subject privacy (if applicable)?
- Storage and preservation
What is your long-term strategy for storing and preserving your data? What file naming conventions will you use to ensure clarity?
What is Metadata?
Metadata is a type of documentation describing the information about your data that helps you and others find, evaluate, understand, and re-use it. This may include:
- Creators of a dataset
- Dates data were collected
- Title of dataset
- Funding agency
- Access Restrictions
- File formats
Many disciplines already have metadata standards; check the Metadata Standards Directory for yours.