Create a data management plan
A data management plan will help you manage your data, meet funder requirements, and help others use your data if shared.
- Project description: What’s the purpose of the research?
- Description of data: What is the data? How and in what format was the data collected?
- Standards to be applied for formats, metadata, etc.
- Short-term storage and security plans: What are your local storage and back up procedures? Will this data require secure storage?
- Confidentiality and intellectual property issues with the data
- Future access plans: How will you make it available to others? Are there any access restrictions needed?
- Long-term archiving and preservation plans: Will the data be preserved in a data archive?
- Data management responsibilities: Who is responsible for managing the data? How will this plan be carried out?
For more information, check out the data planning checklist.
Resources for creating plans
- DMPTool: Web-based tool to build and edit a customized plan according to select funder requirements (including the NSF).
- Guidelines for Effective Data Management Plans and Data Management Plan Resources and Examples (ICPSR): Framework for creating a plan and links to examples of data management plans in various scientific disciplines
- Example Plans (University of Minnesota)
See also: Guides to data management.
Resources for reviewing plans
Are you a grant reviewer being asked to evaluate a researcher’s data management plan? Get guidance from the Johns Hopkins Grant Reviewer’s Guide.
For more help
Need help creating your data management plan? Email us at email@example.com.