Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)

Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional) is sponsored by National Institutes of Health (NIH), National Library of Medicine (NLM). This funding opportunity advances the development of novel informatics and data science approaches that can help individuals understand and improve their health through actionable insights.

PAR-25-235: Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional) This funding opportunity was updated to align with agency priorities. Carefully reread the full funding opportunity and make any needed adjustments to your application prior to submission. Department of Health and Human Services Part 1.

Overview Information Participating Organization(s) National Institutes of Health ( NIH ) Components of Participating Organizations National Library of Medicine ( NLM ) National Institute of Mental Health ( NIMH ) Funding Opportunity Title Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional) R01 Research Project Grant May 15, 2025 - Notice of Correction of Key Dates to PAR-25-235 "Personal Health Informatics for Delivering Actionable Insights to Individuals (R01 Clinical Trial Optional)".

See Notice NOT-LM-25-003 . March 31, 2025 - This funding opportunity was updated to align with agency priorities. Carefully reread the full funding opportunity and make any needed adjustments to your application prior to submission.

April 4, 2024 - Overview of Grant Application and Review Changes for Due Dates on or after January 25, 2025. See Notice NOT-OD-24-084 . August 31, 2022 - Implementation Changes for Genomic Data Sharing Plans Included with Applications Due on or after January 25, 2023.

See Notice NOT-OD-22-198 . August 5, 2022 - Implementation Details for the NIH Data Management and Sharing Policy. See Notice NOT-OD-22-189 .

Funding Opportunity Number (FON) Companion Funding Opportunity See Part 2, Section III. 3. Additional Information on Eligibility.

Assistance Listing Number(s) Funding Opportunity Purpose The purpose of this Notice of Funding Opportunity (NOFO) is to advance the development of novel informatics and data science approaches that can help individuals understand and improve their health through actionable insights.

The NLM and participating institutes listed in this NOFO seek applications that further the science of personal health informatics by providing meaningful and actionable insights to individuals through innovative personal health data collection, integration, analysis, and personalized risk assessments and interpretation.

Applications seeking to advance the understanding of how informatics tools, systems, and platforms can best present the results, interpretation, and limitations of personalized assessments for the benefit of individuals are encouraged.

Applications should include end user engaged approaches and real-world evaluation to inform the design of generalizable, reusable, and scalable personal health informatics tools, systems, and platforms for the benefit of individuals in understanding and improving their health.

Funding Opportunity Goal(s) To meet a growing need for investigators trained in biomedical informatics research and data science by training qualified pre- and post-doctoral candidates; to conduct research in biomedical informatics, bioinformatics and related computer, information and data sciences; to facilitate management of electronic health records and clinical research data; to prepare scholarly works in biomedicine and health; to advance biocomputing and bioinformatics through participation in Federal initiatives relating to biomedical informatics, bioinformatics and biomedical computing; and to stimulate and foster scientific and technological innovation through cooperative research development carried out between small business concerns and research institutions, through Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants.

Open Date (Earliest Submission Date) The following table includes NIH standard due dates marked with an asterisk. Dates in bold and italics reflect changes per NOT-LM-25-003 .

Application Due Dates Review and Award Cycles New Renewal / Resubmission / Revision (as allowed) AIDS - New/Renewal/Resubmission/Revision, as allowed Scientific Merit Review Advisory Council Review Earliest Start Date February 05, 2025 * March 05, 2025 * Not Applicable July 2025 October 2025 December 2025 June 05, 2025 * July 05, 2025 * Not Applicable November 2025 January 2026 April 2026 October 05, 2025 * November 05, 2025 * Not Applicable March 2026 May 2026 July 2026 February 05, 2026 * March 05, 2026 * Not Applicable July 2026 October 2026 December 2026 June 05, 2026 * July 05, 2026 * Not Applicable November 2026 January 2027 April 2027 October 05, 2026 * November 05, 2026 * Not Applicable March 2027 May 2027 July 2027 All applications are due by 5:00 PM local time of applicant organization.

Applicants are encouraged to apply early to allow adequate time to make any corrections to errors found in the application during the submission process by the due date.

Required Application Instructions It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide , except where instructed to do otherwise (in this NOFO or in a Notice from NIH Guide for Grants and Contracts ). Conformance to all requirements (both in the Application Guide and the NOFO) is required and strictly enforced.

Applicants must read and follow all application instructions in the Application Guide as well as any program-specific instructions noted in Section IV. When the program-specific instructions deviate from those in the Application Guide, follow the program-specific instructions. Applications that do not comply with these instructions may be delayed or not accepted for review.

There are several options available to submit your application through Grants. gov to NIH and Department of Health and Human Services partners. You must use one of these submission options to access the application forms for this opportunity.

Use the NIH ASSIST system to prepare, submit and track your application online. Use an institutional system-to-system (S2S) solution to prepare and submit your application to Grants. gov and eRA Commons to track your application.

Check with your institutional officials regarding availability. Workspace to prepare and submit your application and eRA Commons to track your application. Part 1.

Overview Information Part 2. Full Text of Announcement Section I. Notice of Funding Opportunity Description Section II.

Award Information Section III. Eligibility Information Section IV. Application and Submission Information Section V.

Application Review Information Section VI. Award Administration Information Section VII. Agency Contacts Section VIII.

Other Information Part 2. Full Text of Announcement Section I. Notice of Funding Opportunity Description Personal health informatics tools, systems, and platforms leveraging AI/ML have the potential to provide individuals with actionable insights, tailored to their specific health risks and needs and automatically updated based on their personal health data streams and preferences.

Predictions, forecasts, analyses, or other personalized outputs can be considered actionable insights when they are generated by scientifically validated models and presented in an understandable way that empower individuals to act on and respond to trends and features of their personal data.

Informatics tools, systems, and platforms can be designed to make personalized recommendations for improving health, help people explore the potential future impact of different health choices, interpret and explain the results of predictive models, connect with virtual personalized health coaching or interventions, or even facilitate peer accountability through integration with social support networks.

Providing meaningful and actionable insights through personal health informatics still faces many technical challenges that require innovation to overcome. Personal health data may contain errors, omissions, or inconsistencies that can impact the accuracy and reliability of predictive models. Personal health data is often collected and stored in disparate systems that may not be compatible or interoperable.

This can make it difficult to aggregate and analyze data from needed sources, limiting the accuracy and completeness of health risk estimates and personalized recommendations. Software that collects, aggregates, and analyzes personal health data must ensure appropriate safeguards are in place to protect individual privacy and confidentiality.

To be trustworthy , tools, platforms, and systems leveraging AI/ML must be valid and reliable, safe, secure and resilient, accountable and transparent, explainable and interpretable, privacy enhanced, and fair with any potential biases identified and mitigated.

Careful attention must be paid to ensure that previously validated predictive models can generalize their performance when applied in new settings, at different times, with updated data standards, or with different populations, for example. Personal Health Informatics tools, systems, and platforms need to be designed for the end user to ensure effectiveness and accessibility.

Additional research is needed to understand how to best present the insights generated by AI/ML to ensure they are understandable and interpretable by individuals. To be informed when evaluating the outputs of AI/ML, individuals may need to consider difficult to communicate concepts like uncertainty and risk, such as the uncertainty of a prediction or the change a certain behavior may have on their relative risk of developing a disease.

Innovative approaches are needed to ensure the technology presenting AI/ML generated insights are accessible to a wide range of individuals, whose health literacy, language skills, technical sophistication, education levels, and cultural backgrounds and so forth vary .

To advance the science of personal health informatics and effectively presenting AI/ML generated insights, researchers must engage end users and communities as research partners throughout the entire research process, which can be accomplished by using mixed methods, for example, along the collaborative design spectrum, from usability testing to co-design.

Specific Objectives and Scope of this NOFO This NOFO invites research grant applications that will advance the development of innovative informatics and data science approaches that can help individuals understand and improve their health through actionable insights.

For the purposes of this NOFO, the term individual refers to a person who intends to understand their health primarily for personal needs and may also include family members or friends consented to access an individual’s health care information in certain circumstances.

Actionable insights are the predictions, forecasts, analyses, or other personalized outputs generated by scientifically validated models and presented in an understandable way that empower individuals to act on and respond to trends and features of their personal data.

The NLM and other participating institutes seeks applications that further the science of providing meaningful and actionable insights to individuals through innovative personal health data collection, integration, analysis, and personalized assessments and interpretation.

Applications seeking to advance the understanding of how informatics tools, platforms, or systems can best present the results, interpretation, and limitations of personalized assessments for the benefit of individuals are encouraged.

Research seeking and studying innovative ways to combine and integrate technology (e.g. smartphones, wearable sensors, internet platforms, EHRs, AI/ML, predictive models) with biological, social, clinical, and behavioral knowledge to advance the performance of personalized assessments are encouraged. Applications must clearly state a research question or questions to be answered using novel informatics and data science approaches.

In the pursuit of these answers, applicants may find it suitable to develop, adapt, and study a range of personal health informatics tools, platforms, or systems for a variety of user needs. These may be condition/disease specific or provide a more holistic view of an individual’s health. Applicants must base their proposed work on an informed profile of the individuals who are the intended end users and available data.

Applicants are encouraged to consider innovative ways to incorporate multiple data sources to help provide a portrait of an individual’s health, including consideration of the context in which it occurs, and impact of their actions. The work should be developed through interaction with the intended end users and are encouraged to follow principles of community engagement .

If the approach focuses on a single disease, health condition, or narrow user group, applicants should provide assurance that their approach can be generalizable to other use cases and/or populations. Generally, NLM will not support full stack application development to meet the needs of a single niche group, unless the proposed method and group is uniquely suited to answer a critical research question.

Applicants should plan to undertake one or more studies to test the feasibility of their ideas using real-world data and/or acceptability of developed research products with the intended user group.

The study should be designed to provide evidence of the degree of success of the innovative approach and/or needed next steps with the goal of informing the design of generalizable, reusable, and scalable personal health informatics tools, systems, and platforms. Awardees are expected to share the results of their work through publication, and through open-source mechanisms for data or resource sharing.

Awardees are expected to share results of their work with the communities and individuals who participate in the study and should consult with these groups to ensure the dissemination plan is meaningful and relevant. These materials should be created with readability and health literacy principles in mind.

Applications should include a clearly described dissemination plan to ensure that software and data created through the work are readily usable and extensible, where applicable.

Specific areas of interest include, but are not limited to: How can AI/ML techniques extract and interpret patterns from an individual’s health data to provide meaningful and accurate insights, and how can these insights be communicated and used by individuals to improve health outcomes? How can data science approaches be used to develop personalized, informatics-based interventions for individuals based on their personal health data?

How can these approaches be scaled to provide accurate insights across different populations and account for potential bias? What data processing and analysis techniques are best suited for accurately generating actionable insights and risk assessments from personal health informatics data, which may be incomplete or contain errors?

What are the most effective design features of individual-facing personal health informatics tools that promote engagement and positive health changes? How can technology be used to ensure these features are accessible and user-friendly for a variety of groups, e.g. those with varied health and technology literacy levels, physical abilities, etc?

How can emerging technologies, such as large language models, decision aids, and interactive visualization tools, be incorporated into personal health informatics tools to improve an individual’s understanding of the risks and recommendations and their associated limitations and accuracies generated by predictive models?

Research Interests for the National Institute of Mental Health (NIMH): NIMH encourages research that addresses institute priorities and is aligned with these recommended areas for domestic, global, and AIDS-related mental health research. Note.

Applicants are strongly encouraged to reach out to the NIMH scientific contact listed below regarding NIMH-specific data sharing and common data element policies (see NOT-MH-23-100 , NOT-MH-20-067 , NOT-MH-23-105 ) and clinical research guidelines (see NOT-MH-19-027 ).

Key characteristics of personal health informatics research that applicants may consider including in their applications (where applicable) include but are not limited to: Understanding of contextual factors that can influence the use of an individual-facing technology in various settings under investigation.

Incorporation and justification of the use of theories, models, and/or frameworks that are relevant to community engagement, to inform study hypotheses, measures, tool development and design, and outcomes. Consideration of the extant literature on barriers to and facilitators of the use of health information technologies by individuals to improve health.

Support of interoperability and data standards to improve data integration, interoperability, and exchange with other relevant systems or devices. Attention to issues of dissemination, generalizability, and scalability with the goal to bring the benefits of the proposed research findings and research products to more people on a lasting basis.

Formation of transdisciplinary teams of researchers and stakeholders, given the range of expertise that may be needed for conducting personal health informatics research through community and end user engagement (e.g., bioinformatics, implementation scientists).

Applications Not Responsive to this NOFO: The following will be considered non-responsive for this announcement and will not be reviewed: Projects seeking to develop predictive models that do not generate insights for individuals, e.g., a project that will develop a model to help administrators allocate resources across a healthcare organization, a project that will explore if a condition can be reliably diagnosed from a particular type of medical image, whose outputs will not be appropriate to share with individuals.

Projects seeking support for tool or resource development that do not seek to answer research questions and advance the science of personal health informatics. Applications that provide health assessments that are not empirically based. Applications that do not propose to develop research products that are open source and will be freely available to biomedical and behavioral researchers and educators.

Where appropriate, it is strongly encouraged that applicants seek consultation from the Food and Drug Administration for guidance related to regulatory approval/certification of digital health interventions that are being tested.

Under this NOFO, NLM and other participating institutes will support applications involving small, early-stage to Phase I clinical trials that are part of the evaluation component of the proposed research project.

Applicants whose applications include a clinical trial are strongly encouraged to contact the scientific contacts listed in this NOFO for guidance in advance of applying to ensure that their proposed project follows NIH clinical trials policies ( https://grants. nih. gov/policy/clinical-trials.

htm ) and is consistent with the types of clinical trial applications that NLM supports. Applicants may propose new tools or extensions to the capabilities of existing open-source tools such as personal health record systems, by adding new features or extending capabilities of the tool to provide actionable insight. In either case, scientific innovation and the research question to be addressed is key.

Applicants are encouraged to take advantage of freely available public information resources available from NLM and others, such as MedlinePlus , Genetics Home Reference , PUBMED Central , MetaMap .

Potential applicants are strongly encouraged to discuss their proposed project with one of the Scientific/Research Contact listed in Section VII for advice about the application process and suitability of the project for support by NLM and other participating institutes.

Investigators proposing NIH-defined clinical trials may refer to the Research Methods Resources website for information about developing statistical methods and study designs. See Section VIII. Other Information for award authorities and regulations.

Section II. Award Information Grant: A financial assistance mechanism providing money, property, or both to an eligible entity to carry out an approved project or activity. Application Types Allowed The OER Glossary and the How to Apply Application Guide provide details on these application types.

Only those application types listed here are allowed for this NOFO. Optional: Accepting applications that either propose or do not propose clinical trial(s). Need help determining whether you are doing a clinical trial?

Funds Available and Anticipated Number of Awards The number of awards is contingent upon NIH appropriations and the submission of a sufficient number of meritorious applications. Application budgets are expected to be no more than $250,000 per year in direct costs and should reflect the actual needs of the proposed project. The scope of the proposed project should determine the project period.

Applications may request a project period up to 4 years. NIH grants policies as described in the NIH Grants Policy Statement will apply to the applications submitted and awards made from this NOFO. Section III.

Eligibility Information Higher Education Institutions Public/State Controlled Institutions of Higher Education Private Institutions of Higher Education Nonprofits Other Than Institutions of Higher Education Nonprofits with 501(c)(3) IRS Status (Other than Institutions of Higher Education) Nonprofits without 501(c)(3) IRS Status (Other than Institutions of Higher Education) For-Profit Organizations (Other than Small Businesses) City or Township Governments Special District Governments Indian/Native American Tribal Governments (Federally Recognized) Indian/Native American Tribal Governments (Other than Federally Recognized).

Eligible Agencies of the Federal Government U.S. Territory or Possession Independent School Districts Public Housing Authorities/Indian Housing Authorities Native American Tribal Organizations (other than Federally recognized tribal governments) Faith-based or Community-based Organizations Non-domestic (non-U.S.) Entities (Foreign Organizations) Non-domestic (non-U.S.) Entities (Foreign Organizations) are eligible to apply.

Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply. Foreign components, as defined in the NIH Grants Policy Statement , are allowed. Applicant organizations must complete and maintain the following registrations as described in the How to Apply- Application Guide to be eligible to apply for or receive an award.

All registrations must be completed prior to the application being submitted. Registration can take 6 weeks or more, so applicants should begin the registration process as soon as possible. Failure to complete registrations in advance of a due date is not a valid reason for a late submission, please reference the NIH Grants Policy Statement Section 2.

3. 9. 2 Electronically Submitted Applications for additional information.

System for Award Management (SAM) – Applicants must complete and maintain an active registration, which requires renewal at least annually . The renewal process may require as much time as the initial registration. SAM registration includes the assignment of a Commercial and Government Entity (CAGE) Code for domestic organizations which have not already been assigned a CAGE Code.

NATO Commercial and Government Entity (NCAGE) Code – Foreign organizations must obtain an NCAGE code (in lieu of a CAGE code) in order to register in SAM. Unique Entity Identifier (UEI) - A UEI is issued as part of the SAM. gov registration process.

The same UEI must be used for all registrations, as well as on the grant application. eRA Commons - Once the unique organization identifier is established, organizations can register with eRA Commons in tandem with completing their Grants. gov registrations; all registrations must be in place by time of submission.

eRA Commons requires organizations to identify at least one Signing Official (SO) and at least one Program Director/Principal Investigator (PD/PI) account in order to submit an application. Grants. gov – Applicants must have an active SAM registration in order to complete the Grants.

gov registration. Program Directors/Principal Investigators (PD(s)/PI(s)) All PD(s)/PI(s) must have an eRA Commons account. PD(s)/PI(s) should work with their organizational officials to either create a new account or to affiliate their existing account with the applicant organization in eRA Commons.

If the PD/PI is also the organizational Signing Official, they must have two distinct eRA Commons accounts, one for each role. Obtaining an eRA Commons account can take up to 2 weeks.

Eligible Individuals (Program Director/Principal Investigator) Any individual(s) with the skills, knowledge, and resources necessary to carry out the proposed research as the Program Director(s)/Principal Investigator(s) (PD(s)/PI(s)) is invited to work with their organization to develop an application for support.

For institutions/organizations proposing multiple PDs/PIs, visit the Multiple Program Director/Principal Investigator Policy and submission details in the Senior/Key Person Profile (Expanded) Component of the How to Apply-Application Guide. This NOFO does not require cost sharing as defined in the NIH Grants Policy Statement Section 1. 2 Definition of Terms .

3. Additional Information on Eligibility Applicant organizations may submit more than one application, provided that each application is scientifically distinct. The NIH will not accept duplicate or highly overlapping applications under review at the same time, per NIH Grants Policy Statement Section 2.

3. 7. 4 Submission of Resubmission Application .

This means that the NIH will not accept: A new (A0) application that is submitted before issuance of the summary statement from the review of an overlapping new (A0) or resubmission (A1) application. A resubmission (A1) application that is submitted before issuance of the summary statement from the review of the previous new (A0) application.

An application that has substantial overlap with another application pending appeal of initial peer review (see NIH Grants Policy Statement 2. 3. 9.

4 Similar, Essentially Identical, or Identical Applications ). Section IV. Application and Submission Information 1.

Requesting an Application Package The application forms package specific to this opportunity must be accessed through ASSIST, Grants. gov Workspace or an institutional system-to-system solution. Links to apply using ASSIST or Grants.

gov Workspace are available in Part 1 of this NOFO. See your administrative office for instructions if you plan to use an institutional system-to-system solution. 2.

Content and Form of Application Submission It is critical that applicants follow the instructions in the Research (R) Instructions in the How to Apply - Application Guide except where instructed in this notice of funding opportunity to do otherwise. Conformance to the requirements in the Application Guide is required and strictly enforced.

Applications that are out of compliance with these instructions may be delayed or not accepted for review. All page limitations described in the How to Apply- Application Guide and the Table of Page Limits must be followed. Instructions for Application Submission The following section supplements the instructions found in the How to Apply- Application Guide and should be used for preparing an application to this NOFO.

All instructions in the How to Apply - Application Guide must be followed. SF424(R&R) Project/Performance Site Locations All instructions in the How to Apply- Application Guide must be followed. SF424(R&R) Other Project Information All instructions in the How to Apply- Application Guide must be followed.

SF424(R&R) Senior/Key Person Profile All instructions in the How to Apply- Application Guide must be followed. All instructions in the How to Apply- Application Guide must be followed. All instructions in the How to Apply-Application Guide must be followed.

PHS 398 Cover Page Supplement All instructions in the How to Apply- Application Guide must be followed.

All instructions in the How to Apply- Application Guide must be followed, with the following additional instructions: The objective of this Notice of Funding Opportunity (NOFO) is to advance the development of novel informatics and data science approaches that can help individuals understand and improve their overall health through actionable insights.

Applications should involve end user engagement and real-world evaluation to inform the design of generalizable, reusable, and scalable personal health informatics tool. Multidisciplinary teams are encouraged and expected. The research strategy must: Factor #1.

Importance of the Research Identify research question(s) to be addressed in the application, explain how answering these questions will drive scientific advancement in the field of personal health informatics with the goal of informing the design of generalizable, reusable, and scalable personal health informatics tools, systems, and platforms for the benefit of individuals in understanding and improving their health.

The approach must use novel informatics and data science approaches and must be based on an informed profile of the intended end users and available data. Address the degree to which the proposed findings and products are scalable and could be disseminated into practice, given typically available resources (e.g., cost of a particular wearable device, user time, data quality), typical modes of engagement, and typical use patterns.

Detail how the proposed research will generate data that will lead to a firm conclusion about the approach and provide information degree of success and/or needed next steps. Include a proposed impact statement should the project ultimately be successful.

Explain how the proposed novel informatics and data science approaches can further the science of personal health informatics by providing meaningful and actionable insights to individuals through innovative personal health data collection, integration, analysis, and personalized risk assessments and interpretation.

Highlight how innovative research strategies and design/analytic elements are incorporated, as appropriate, to enhance the study's potential for providing meaningful and actionable insights to individuals.

Highlight how the application will leverage mobile health, health information technology, or other health related data (e.g. smartphones, wearable sensors, internet platforms, EHRs, geospatial data, community-level data, health-related social needs and social and structural determinants of health data) with biological, social, clinical, and behavioral knowledge to advance the performance of personalized assessments.

Factor #2: Rigor and Feasibility Identify the end user whose needs are addressed by the study and provide a rationale for this population focus and description of the use case.

Detail the rationale and empirical basis for the novel informatics or data science approach in terms of the intended target population; the availability and quality of informative and suitable personal health data; and the scientific validity, accuracy, and reliability of supporting models, algorithms, and methodology.

Identify limitations or potential sources of bias of the datasets, algorithms, and applications to be used and provide mitigation strategies to avoid their amplification or perpetuation. Clearly describe how the proposed novel informatics or data science approach will be evaluated (e.g., in terms of accuracy, reliability, effectiveness, usability, security, privacy, and ethics.)

Include plans for one or more studies with the intended user group and/or using real-world data and how this study will establish feasibility and acceptability. Include a plan for dissemination of research findings and products to 1) the scientific community and 2) the individuals and communities to be engaged in the research.

Factor #3: Expertise and Resources Describe plans to involve collaborations and/or input from engaging communities and individuals in a manner that informs the research (e.g., to help ensure the approaches are acceptable, feasible, and scalable) and helps to ensure the results will have utility for end users.

Resource Sharing Plan : Individuals are required to comply with the instructions for the Resource Sharing Plans as provided in the How to Apply- Application Guide.

The following modifications also apply: Applicants are expected to include a general plan for timely dissemination and sharing resources, e.g., code, widely, as appropriate, and consistent with achieving the goals of the program in concert with policies of the NIH, NLM, and other participating institutes. A software dissemination plan, with appropriate timelines, is expected to be included to meet the goals of this initiative.

Applicants are expected to include a general plan for timely dissemination and sharing of data and resources, e.g., code, widely, as appropriate, and consistent with achieving the goals of the program in concert with policies of the NIH, NLM, and other participating institutes. A software dissemination plan, with appropriate timelines, is expected to be included to meet the goals of this initiative.

A major goal of this NOFO is to advance the development of novel informatics and data science approaches that can help individuals understand and improve their overall health through actionable insights. Applicants should therefore include detailed plans for open dissemination of methods, software, and tools to scientific and healthcare communities such that they are readily usable and extensible, where applicable.

These should be made freely available to biomedical researchers and educators. There is no prescribed license for software produced by applications responding to this announcement, but any software license selected by applicants should allow for unrestricted redistribution and modification of software.

There is no prescribed license for software produced by applications responding to this announcement, but any software license selected by applicants should allow for unrestricted redistribution and modification of software. Methods, tools, and software should be well documented and where applicable made available via version-controlled public repositories.

Where applicable, applicants should describe solutions for portable implementations to cloud and federated computing environments. Solutions that enhance reproducibility when used by the community should be emphasized.

These include: Any developed software should be freely available to biomedical researchers, curators, and educators in the non-profit sector, such as institutions of education, research institutions, and government laboratories.