"Good data management means determining how data will be collected, what that data will look like, where it will live, and who will be responsible for it -- all before the experiment starts -- and then clearly documenting that information."
NYU Langone Health. Research Data Management Training for Information Professionals: Data Documentation Best Practices. Retrieved from https://nyumc.qualtrics.com/jfe/form/SV_e3SWjfWQjuawW6q
A data management plan (or DMP) is a formal plan that describes how research data are managed throughout the lifecycle of a research project. Planning saves time in the long run by integrating processes within and after the life of a project. It minimizes the need to reorganize, reformat, or attempt to remember details about data when disseminating and sharing with others. Many funding agencies and journals have data management policies and guidelines.
For NIH 2023 Data Sharing and Management Policy, DMPs should typically not to be longer than 2 pages and must be submitted with application for funding in Budget Justification section. The NIH provides a draft template here.
1. Data Type
Briefly describe the scientific data to be managed, preserved, and shared.
2. Related Tools, Software, Code
Tools and software needed to access and manipulate data, and where you can find them.
An indication of what standards will be applied to the scientific data and associated metadata (i.e., data formats, data dictionaries, data identifiers, definitions, unique identifiers, and other data documentation).
4. Data Preservation, Access, Timelines
Repository to be used, persistent identifiers (PID), and when/how long data will be available.
Encourages use of established repositories.
Identify appropriate repositories - see How to Choose a Repository
View a list of repositories, including NIH Suggested Repositories
(Note that NIH ICs or journal publishers may designate specific data repositories to be used.)
5. Access, Distribution, and Reuse Considerations
Potential limitations on use, access, distribution. NIH expects that in drafting Plans, researchers maximize the appropriate sharing of scientific data generated from NIH-funded or conducted research, consistent with privacy, security, informed consent, and proprietary issues.
6. Oversight of Data Management
Indicate how compliance with the Plan will be monitored and managed, frequency of oversight, and by whom (e.g., titles, roles).
Who has primary responsibility for ensuring that:
(Learn more: Supplemental Information to the NIH Policy for Data Management and Sharing - Elements of an NIH Data Management and Sharing Plan)