Data Management Planning

Q&A

Why is data management planning important?

Data management is an integral part of the research process. Before starting a new study, researchers should make explicit plans for managing their data. This planning will:

  • Meet federal funding agency requirements
  • Ensure that research data and records are accurate, complete, and reliable
  • Increase research efficiency and prevent duplication of effort
  • Enhance data security and minimize risk of data loss

What are federal funding agency requirements?

All National Science Foundation (NSF) proposals require a data management plan, which is a one to two page document that describes how research data will be managed and shared. Different directorates provide specific guidance on the type of information that should appear in the data management plan.

National Institutes of Health (NIH) proposals requesting $500,000 or more in direct costs per year require a data sharing plan, which is a paragraph describing how research data will be shared. 

National Endowment for the Humanities (NEH) proposals through the Office of Digital Humanities require a data management plan, which is a one to two page document that describes how research data will be managed and shared. 

Other funding agencies also require data management plans or have policies regarding data sharing. 

Where can I find examples of data management plans?

Some sample data management plans can be found at:

Where can I get assistance with preparing a data management plan?

DMPTool is a free online tool that walks you through each component of the data management plan. You can log in using your U-M uniqname and password.

For researchers in the College of Engineering, we provide a useful guide to preparing NSF data management plans. 

For questions or additional assistance, please email us at ResearchDataServices@umich.edu.

 

 

Page maintained by Sara M. Samuel
Last modified: 09/02/2014