Data management plans (DMPs) describe the data management activities for a research group, researcher, or research project. They are structured documents created in advance of collecting data, and describe practices that will be followed over the course of the data lifecycle.
For the purpose of research grants, DMPs are limited in scope. They describe the practices researchers intend to follow for a particular project.
In approximately two pages of text, researchers are asked to outline how they intend to ensure that data are well maintained, shared, and reusable in the future.
To learn more about data sharing, see: Data Sharing Requirements
Researchers can also use DMPs as living documents that describe their overall data management practices in detail, and are refined over time.
As a tool, data management plans allow researchers to:
Policies for access, sharing and re-use
Long-term storage and management
The DMPTool is an online platform guiding DMP development according to the requirements of specific funding agencies.
Texas A&M University researchers log in with their NetID and passwords.
Data Management General Guidance
Helpful guide with explanations for the topics covered in a data management plan from the DMPTool.
Checklist for a DMP
The Digital Curation Centre (DCC) checklist with questions to consider and guidance for writing a data management plan.
DMP Self-Assessment Questionnaire
A questionnaire from Purdue University for thinking through aspects of the research data lifecycle that should be addressed in a data management plan.
Framework for Creating a DMP
The Inter-university Consortium for Political and Social Research (ICPSR) framework for assembling data management plans to accompany grant applications.