New NIH Funding Requirement Starting January 25 2023

Beginning in January 2023, the Final NIH Policy for Data Management and Sharing (NOT-OD-21-013) will require researchers to include a data management and sharing (DMS) plan in funding applications. In preparation for the policy implementation, NIH has launched a Scientific Data Sharing Website.

The Final DMS Policy applies to all research, funded in whole or in part by NIH, that results in the generation of scientific data. This includes competing grant applications and proposals for contracts that are submitted to NIH on or after the January 25, 2023, submission deadline. The DMS Policy does not apply to research and other activities that do not generate scientific data, including training, infrastructure development, and non-research activities.   

Once a grant has been awarded, the DMS Plan becomes part of the award's terms and conditions. NIH expects researchers and institutions to implement data management and sharing practices as described in their approved Plan. Compliance with the DMS Plan, including any updates, may be reviewed during regular reporting intervals.

Introductory Webinars

Two webinar sessions from the NIH explain the new requirements: 

1hour, 27 minutes

In this video: Policy expectations, the applicability of the policy, how to prepare a DMSP, and considerations for sharing data responsibly.

Town Halls

The Research Informatics Office hosted a virtual Town Hall on December 13 where information and resources about the New NIH Data  Management and Sharing Policy (DMSP) were shared with more than 200 participants. 

If you miss the Town Hall or would like to review any content you can view the Town Hall recording here. The slides presented during the Town Hall are available here.

DMS Plans Required Elements

Researchers will be required to submit a DMS plan at the time of application to the funding NIH Institute, Center, or Office (ICO) that outlines how scientific data and related metadata will be managed and shared, including any potential restrictions or limitations.  

Specific NIH DMSP elements: 

  • Element 1: Data type

Summarize the types and estimated amount of scientific data expected to be generated in the project. Describe which scientific data from the project will be preserved and shared. NIH does not anticipate that researchers will preserve and share all scientific data generated in a study. Researchers should decide which scientific data to preserve and share based on ethical, legal, and technical factors. The plan should provide the reasoning for these decisions. Briefly list the metadata, other relevant data, and any associated documentation (e.g., study protocols and data collection instruments) that will be made accessible to facilitate interpretation of the scientific data.

  • Element 2: Tools, software, and code

State whether specialized tools, software, and/or code are needed to access or manipulate shared scientific data, and if so, provide the name(s) of the needed tool(s) and software and specify how they can be accessed.

  • Element 3: Data standards

State what common data standards, if any, will be applied to the scientific data and associated metadata to enable interoperability of datasets and resources, and provide the name(s) of the data standards that will be applied and describe how these data standards will be applied to the scientific data generated by the research proposed in this project. If applicable, indicate that no consensus standards exist.

  • Element 4: Data Preservation, Access, and Associated Timelines

Provide the name of the repository(ies) where scientific data and metadata arising from the project will be archived. Describe how the scientific data will be findable and identifiable, i.e., via a persistent unique identifier or other standard indexing tools. Describe when the scientific data will be made available to other users (i.e., no later than time of an associated publication or end of the performance period, whichever comes first) and for how long data will be available.

  • Element 5: Factors affecting access, distribution, or reuse of scientific data, controlled access and privacy considerations

NIH expects that in drafting Plans, researchers maximize the appropriate sharing of scientific data. Describe and justify any applicable factors or data use limitations affecting subsequent access, distribution, or reuse of scientific data related to informed consent, privacy and confidentiality protections, and any other considerations that may limit the extent of data sharing. State whether access to the scientific data will be controlled (i.e., made available by a data repository only after approval). If generating scientific data derived from humans, describe how the privacy, rights, and confidentiality of human research participants will be protected (e.g., through de-identification, Certificates of Confidentiality, and other protective measures).

  • Element 6: Institutional compliance, monitoring, and roles

Describe how compliance with this Plan will be monitored and managed, frequency of oversight, and by whom at your institution (e.g., titles, roles).

In addition, researchers proposing to generate scientific data derived from human participants will need to describe how privacy, rights, and confidentiality of human research participants will be protected. 

by Sara Gonzales Matthew B. Carson, and Kristi Holmes. August 3, 2022. This article provides 10 key recommendations for creating a DMSP that is both maximally compliant and effective.


NIH has provided sample DMS Plans as examples of how a DMS Plan could be completed in different contexts.  Note that the sample DMS Plans provided below may reflect additional expectations established by NIH or specific NIH Institutes, Centers, or Offices that go beyond the DMS Policy. Applicants will need to ensure that their Plan reflects any additional, applicable expectations (including from NIH policies, ICO policies, or as stated in the FOA).

Blank Template

Clinical and/or MRI data from human research participants

Genomic data from human research participants

Genomic data from a non-human source

Secondary Data Analysis

Human Genomic Data

Technology Development


Human Clinical Genomics

Non Human (Zebrafish)

Clinical Data from Human Research Participants

Basic Research from a Non-Human Source Example

Secondary Data Analysis Example

Survey and Interview Example

Data Management and Sharing Plan Checklist

The DMSP Checklist addresses the 6 required elements which can be found on the Writing a Data Management and Sharing Plan page, in the NIH DMS Policy, and in an optional format worksheet, all from NIH.

More Details and Resources