Resources & Tools

A data management plan asks the researcher to consider how data and associated products of research (such as code or other files) will be handled across the life span of a project and beyond. This includes how the data will be stored, secured, accessed, documented, formatted and versioned. The plan should also include where and when data will be shared, if it will be made publicly available, how it will be licensed for reuse and how and for how long data will be archived. Both general best practices for data management and archiving should be considered as well as any discipline-specific practices for file formats, metadata and documentation that would support the discovery and reuse of the data. If your research involves human subjects or other sensitive information, ethics, consent, and de-identification of data should also be addressed.

Data Management Plan (Word)

Create Data Management Plans that meet requirements and promote your research. 

To build your Data Management Plan visit this link DMPTool  

  1. Sign in/Sign up
  2. Create a plan
  3. Enter what research project you are planning
  4. Select the primary research organization (e.g., University of Kansas Medical Center)
  5. Select the primary funding organization, under funder select “National Institutes of Health (nih.gov)”
  6. Which DMP template would you like to use? Select “NIH Gen DMSP (Forthcoming 2023)”
  7. Enter your Project Details, Collaborators, Write Plan, then you can download the plan in a word document (docx) and Finalize and Publish (to control who gets to see the plan).

 For more information about the DMSP, please contact our .

Robert Thorne

Robert Thorne

Automotive & Future Transportation Editor

Robert Thorne covers electric vehicle innovations, autonomous driving systems, global mobility trends, and automotive engineering developments.

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