Many grant proposals to government and private funders must include a data management plan as part of the application.
The DMPTool offers guidance for specific funders' data management requirements. It also includes sample plans and templates for preparing your own data management plan.
Your data management plan should address the following areas:
- Roles and responsibilities: Who will be responsible for managing data during the project? How will you and other project investigators enforce any data management policies?
- Data types: How are you producing data? What types of data are you producing? How much data will you produce? Will you use available data (if so, from where)?
- Data and metadata standards: How will you process and organize your data? What file formats will you use? How will you describe the data so that others can understand and use the data in the future?
- Data access and sharing: How will you share your data? Will you embargo any release of data (if so, why and for how long)? If your data are sensitive, how will you prepare the data to protect privacy? Will you release the data with access restrictions (if so, how)?
- Data reuse: Who can reuse the data? How should others reuse data? What credit should others give for data reuse? Can others disseminate the data?
- Data preservation: Which data will you preserve? How long will you preserve the data? Will you use a data repository or archive to preserve your data? What metadata or documentation will go with the data?
For help drafting your data management plan, contact the Scholarly Communications Office. Staff provide consultations and reviews of data management plans.