Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Research Data Management

NIH Data Management and Sharing Plan (DMS) Policy 2023

2023 DMS Policy

The NIH updated previous policies for grant-funded scientific research and goes into effect January 25, 2023. The new policy is a way to foster transparency and reproducibility with publicly-funded research. To do this, the NIH has implemented new stipulations for the management and sharing of scientific data.

The 2023 DMSP policy updates the 2003 Data Sharing Policy by applying to NIH funding of any amount that produces scientific research. If research falls under those two stipulations, a data management and sharing plan will need to be submitted with the application. There are sample plans online as well as templates in the DMPTool that can help you create a plan.

Submitted plans are not usually part of the peer review process, but are reviewed by NIH Program Staff who will communicate any need for revisions.

*Failure to comply with the implementation of the proposed plans could have an impact on future funding from the NIH for both the researcher and the institution.*

Three photos side by side, a person standing in front of a wall with different graphs, the word data made from Scrabble tiles amongst other tiles, and a piggy bank sitting on a page displaying a line chart.

What's in the plan?

Data Management and Sharing Plans show that researchers have thought through the management and sharing of data. The plans include the 6 following elements:

  • Data type - Include the estimated amount, what type or kind will be produced, what data will be preserved or shared, and list metadata or other relevant documentation.
  • Related tools, software, code - Will other researchers need specialized software to reuse or interpret the data (i.e. SPSS)?
  • Data standards - What standards will be applied (i.e., dictionaries, identifiers, definitions)?
  • Preservation & timelines - Where will you share or deposit the data, will it be findable with a unique ID, when will data be available and for how long? Find a recommended data repository through our list, the NIH, re3data.org, or publisher recommendations.
  • Distribution & reuse - Are there any reasons that could limit the extent of sharing like informed consent, privacy/confidentiality protections, restrictions or other considerations from federal, tribal, state, or local regulations? Provide any justification for not sharing data.
  • Oversight - Who will oversee it and perform quality checks?