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Research Data Management: NIH Data Management & Sharing Policy


URL: https://guides.lib.uci.edu/datamanagement

Overview of 2023 NIH Data Management and Sharing Policy

The National Institutes of Health (NIH) has issued a Final NIH Policy for Data Management and Sharing (effective January 25, 2023), requiring NIH funded researchers to submit a plan outlining how scientific data from their research will be managed and shared. The new policy will replace the currently in effect 2003 NIH Data Sharing Policy. The new policy requires submission of a 2-page (max) Data Management and Sharing Plan (DMSP) describing the following:

  1. Data type
  2. Related tools, software, and/or code
  3. Standards
  4. Preservation, access, and associated timelines 
  5. Access, distribution, and reuse considerations
  6. Oversight of data management and sharing

FAQs for NIH 2023 Data Management and Sharing Policy

General Data Sharing 

NIH promotes data sharing as a way to accelerate biomedical research discovery, enable validation of research results, provide access to high-quality data, and promote data re-use for future studies.

Request a consultation  for NIH data policy and data management-related questions, or email Data Curation Librarian Wasila Dahdul (wdahdul@uci.edu) for assistance. A template with guidance and sample language is also available to help researchers write NIH-compliant plans (see Box to right)

NIH strongly encourages researchers who work with sensitive topics and/or populations to address data sharing in the Informed Consent process. Researchers should also pay special attention to their de-identification process to ensure that all identifying information has been fully removed. Finally, researchers should consider depositing their data in restricted access repositories that require data use agreements and research plans in order to access the data.

While sharing data can lead to scooping, this is very rare. If you are worried about scooping you may want to hold off publishing your data until your associated publication is ready to be published. Some repositories have a "private for peer review" option which allows you to make your data available to peer reviewers but not fully publish your data until the article has been accepted.

 

NIH 2023 Data Sharing Policy 

The final NIH Policy defines Scientific Data as: “The recorded factual material commonly accepted in the scientific community as of sufficient quality to validate and replicate research findings, regardless of whether the data are used to support scholarly publications. Scientific data do not include laboratory notebooks, preliminary analyses, completed case report forms, drafts of scientific papers, plans for future research, peer reviews, communications with colleagues, or physical objects, such as laboratory specimens.” Even those scientific data not used to support a publication are considered scientific data and within the final DMS Policy’s scope.

No. NIH prefers that scientific data be shared and preserved through repositories rather than kept by a researcher and provided upon request.

NIH program staff will assess the DMS plans but peer reviewers may comment on the proposed budget for data management and sharing.

NIH encourages the use of established repositories. To select a repository relevant to your data consider:

  1. Is there a specific NIH repository named in the funding announcement?
  2. Is there a data repository specific to your discipline?
  3. If not, is there a general data repository you can use? Consider using the Dryad digital repository 
For additional guidance, see NIH supplemental information on Selecting a Resository 

A standard specifies how exactly data and related materials should be stored, organized, and described. In the context of research data, the term typically refers to the use of specific and well-defined formats, schemas, vocabularies, and ontologies in the description and organization of data. However, for researchers within a community where more formal standards have not been well established, it can also be interpreted more broadly to refer to the adoption of the same (or similar) data management-related activities, conventions, or strategies by different researchers and across different projects.

NIH encourages scientific data be shared as soon as possible, and no later than time of an associated publication or end of the performance period, whichever comes first.

Allowable costs can include:

  1. data curation and developing documentation (formatting data, de-identifying data, preparing metadata, curating data for a data repository)
  2. data management considerations (unique and specialized information infrastructure necessary to provide local management and preservation before depositing in a repository)
  3. preserving data in data repositories (data deposit fees)
For additional information, see NIH supplemental information on allowable costs 

The NIH has said that NIH Program Staff will be monitoring compliance with the policy during the funding period. “Noncompliance with Plans may result in the NIH ICO adding special Terms and Conditions of Award or terminating the award. If award recipients are not compliant with Plans at the end of the award, noncompliance may be factored into future funding decisions.” See full NIH FAQ for more details 

Template for Creating NIH Data Management and Sharing Plan (DMSP)

A template with guidance and sample language for creating data management plans compliant with the 2023 NIH data management and sharing policy is available (see UCI Libraries NIH DMSP 2023 Template). The template can be downloaded and edited directly in Word to create a customized data management plan. Researchers can also access the NIH template and write their plan using the DMPTool (see quick start guide) .  

Links to NIH Resources

NIH has provided supplemental resources to help the research community prepare for the new policy. These include: 

Visit NIH's site to learn more about NIH activities related to public access and open science.

Need more help?

Request a consultation for NIH data policy and data management-related questions, or email Data Curation Librarian Wasila Dahdul (wdahdul@uci.edu) for assistance.