NIAID Data Sharing Recommendations

Rapid data sharing is essential for advancing research on infectious and immune-mediated diseases. NIAID supports broad sharing of research data, while protecting the privacy of human research participants. NIAID recommendations for navigating data sharing policies at the National Institutes of Health (NIH) are provided here. 

Jump to:

NIH Data Sharing Policies

Scientific and genomic data from NIAID-funded and conducted research should be shared according to the NIH data sharing policies below.

Guidance for NIAID Researchers

What data types should be shared?

NIAID expects researchers to comply with the NIH DMS policy. Scientific data, defined as all data necessary to replicate research findings regardless of whether the data are used to support scientific papers, must be shared. Data types may include, but are not limited to, genomic, transcriptomic, imaging, proteomics, metabolomics, immunological, flow cytometry, protein structures, and clinical data from human research participants generated during research projects and/or clinical trials. Data and metadata associated with funded research should be shared using common data standards, when possible.

However, not all data must be shared, including data resulting from calibration or preliminary analyses. Any ethical, legal, and/or technical factors that may affect sharing may be detailed in the Data Management and Sharing (DMS) Plan. See NIH guidance for additional details.

NIAID expects that researchers share de-identified human research participant-level data from NIAID-funded or conducted clinical trials through controlled access data platforms, including accessclinicaldata@NIAID, dbGaP, and TBPortals. Registration of studies on ClinicalTrials.gov will not be sufficient. Guidance is available on Protecting Participant Privacy When Sharing Scientific Data.

What is metadata?

Metadata is additional labeling of your data. This “data about data” describes data contents and structure. It also makes research data “discoverable” by enabling links to publications, other data, workflows or analysis pipelines, and funding information. Including metadata allows other researchers to interpret and reuse your data and prevents misuse, misinterpretation, and confusion.

The exact metadata or other associated documentation will vary by scientific area, study design, the type of data collected, and characteristics of the dataset. Metadata or other information associated with research data may include the methodology and procedures used to collect the data, data labels, definitions of variables, and any other information necessary to reproduce and understand the data.

Example Metadata Fields

Authors(s), Citation, Dataset Name, Date Modified, Date Published, Description, Experimental Host, Funder Number, Grant Number, Measurement, Pathogen, Publisher, Source Code, Technique, Variable(s) Measured

Learn more about metadata and associated data sharing principles on the NIH grants and funding website and the NIH Office of Data Science Strategy website.

Understanding Metadata: A Key to Data Sharing and Reuse

Metadata plays a crucial role in sharing and reusing scientific data. Understanding what metadata is and how it is used can accelerate your research, increase the visibility of your work, and advance the field of infectious and immune-mediated disease (IID) research.

Where do I share data from NIAID-funded or conducted research?

NIAID encourages the use of established domain-specific repositories for data sharing to support effective data discovery, access, and reuse. To select a repository for sharing data, review the list of NIH-Supported Data Sharing Resources, including NIAID-preferred repositories. When domain-specific repositories are not available, NIAID encourages researchers to share data via widely used generalist repositories. Read more about selecting a data repository.

It is common practice for researchers to share data as supplementary material to journal articles. However, making data available solely through publications, supplemental material, etc. is not compliant with NIAID expectations for data sharing.

When do I share data from NIAID-funded or conducted research?

The NIH DMS policy requires data sharing at the time of publication or at the end of the performance period, whichever comes first. NIAID strongly encourages scientific data to be shared as rapidly as possible. All scientific data generated by a study, including data beyond what used to support a publication, should be shared before the end of the performance period.

Human and non-human genomic data subject to the Genomic Data Sharing (GDS) policy must still comply with the GDS policy timeline expectations for data submission and sharing. To determine if your research is subject to the GDS policy, please review when the GDS policy applies 

In some instances, data sharing before publication or the end of the performance period may be warranted, such as during public health emergencies. See NIH guidance  for details on data submission and sharing timelines. 

How do I develop a DMS Plan? 

Under the DMS policy, NIH expects investigators and institutions to: 

  1. Following the NIH DMS policy expectations, prepare a DMS Plan using the updated template without modification.
  2. Submit a DMS Plan when applying for funding.
  3. Budget for sharing and management of scientific data. 
  4. Comply with the approved DMS Plan.

Before you apply for NIAID funding, determine if your application falls under the DMS policy using resources available on Research Covered by the 2023 DMS policy . If your application is subject to the Genomic Data Sharing policy, your DMS Plan should address genomic data considerations.

You can find more information on the steps for developing and submitting a DMS Plan in NIAID’s Data Management and Sharing for Grants SOP

Practicing Data Stewardship During Research

Data stewardship refers to the responsible management and oversight of scientific data throughout its lifecycle, from creation and collection to storage, sharing, and preservation. It involves ensuring that data is accurate, accessible, and reusable, while also protecting its integrity and confidentiality. 

Carrying Out a Data Management and Sharing Plan? Take Note of These Updates

NIH has implemented important updates related to DMS Plans in October 2024 and May 2026. Learn more about new data sharing-related questions included in Research Performance Progress Reports (RPPRs), the new process for requesting revisions to DMS Plans, and updates to the DMS Plan template.

decorative image
Credit: iStock

Resources for Sharing and Accessing Data 

The following resources can help NIAID researchers with data sharing and access in controlled-access, NIH-supported repositories. 

Genomic Program Administrators (GPAs)

The NIAID Genomic Program Administrators (GPAs) assist investigators with study registration and data submission to controlled-access repositories, such as dbGaP, and serve as experts on the Genomic Data Sharing (GDS) policy for NIAID. Divisional GPAs provide support to investigators funded by or within the NIAID divisions, with assistance from the overall NIAID GPA in the Office of Data Science and Emerging Technologies.

Principal Investigators should direct questions related to data management, sharing, and NIH policies to their Program Officers (POs). Questions from POs on these topics should be directed to their divisional GPA or the overall NIAID GPA.

Data Access Committee (DAC)

The NIAID Data Access Committee (DAC) provides guidance and oversight of controlled-access data housed within NIH designated repositories, including dbGaP and accessclinicaldata@NIAID. Learn more about requesting access for these and other NIH-funded repositories from the NIH's Accessing Scientific Data page and How to Request and Access Datasets from dbGaP page.

We encourage controlled access data repositories that host NIAID data to use the NIAID DAC for review of their Data Access Requests. Please contact NIAID DAC with any questions.

Data Sharing Resources and Training

NIH Resources

NIAID Resources

External Resources

NIAID cannot attest to the accuracy of a non-federal site. Linking to a non-federal site does not constitute an endorsement by NIH or any of its employees of the sponsors or the information and products presented on the site.

  • DMPTool: This tool can help researchers create data management plans (DMPs), including NIH-GEN DMSP.

2024 NIH Public Access Policy

The 2024 NIH Public Access Policy requires NIH-funded researchers to submit accepted manuscripts to PubMed Central upon acceptance for publication, effective July 1, 2025. Visit NIH's Public Access page for policy details and support.

Content last reviewed on