Notice of Special Interest (NOSI): Administrative Supplements for R25 Data Science Training for Infectious and Immune-mediated Disease Research
Notice Number:
NOT-AI-23-010

Key Dates

Release Date:

November 30, 2022

First Available Due Date:
February 13, 2023
Expiration Date:
February 14, 2024

Related Announcements

PA-20-272 - Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)

Issued by

National Institute of Allergy and Infectious Diseases (NIAID)

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)

National Institute of Mental Health (NIMH)

National Cancer Institute (NCI)

All applications to this funding opportunity announcement should fall within the mission of the Institutes/Centers. The following NIH Offices may co-fund applications assigned to those Institutes/Centers.

Office of Data Science Strategy (ODSS)

Purpose

The purpose of this Notice of Special Interest (NOSI) is to highlight the interest of participating NIH institutes and centers (ICs) to enhance existing NIH research Education (R25) awards with data science training relevant to infectious- and immune-mediated disease research. Data science is a rapidly evolving field in infectious- and immune-mediated diseases. Some of the most impactful data science takes place in transdisciplinary collaborations between biomedical, behavioral, clinical, and computational scientists. The supplemental work supported by this NOSI will enable existing R25 training programs to offer data science mentoring and training to engage a broader community in data science by improving training programs and transdisciplinary collaboration between biomedical, behavioral, clinical, and computational scientists for research on infectious- and immune-mediated diseases, consistent with the NIH Strategic Plan for Data Science.

Scope of Interest

Impactful use of data science methods and technologies in infectious- and immune-mediated disease research depends on skills among biomedical, behavioral, and clinical researchers to work effectively with scientists from computational scientific disciplines. Such transdisciplinary skills include strong communication skills and sufficient methodological and domain knowledge to establish meaningful collaborations. Existing biomedical, behavioral, and clinical training programs may not include program elements that prepare trainees for strong collaborative research with computational sciences (e.g., computer science, mathematics, engineering, and physics).

The goal of the supplementary funding is to add data science training components that enable stronger transdisciplinary collaboration between biomedical, behavioral, clinical, and computational scientists. Examples of data science topics for R25 training programs include, but are not limited to: data curation, metadata creation, data management and sharing approaches, understanding and applying, Findable, Accessible, Interoperable, Reusable (FAIR) Guiding Principles, computational analytical methods, such as artificial intelligence/machine learning, systems modeling, and automated reasoning.

Examples of program elements that could be added to existing R25 training programs include, but are not limited to:

  • Course modules that provide basic knowledge and skills in computational methods to biomedical, behavioral, and clinical trainees, so that trainees would be better equipped for transdisciplinary data science research collaborations.
  • Collaborative projects that expose biomedical, behavioral, and clinical trainees to scientists from computational disciplines and improve transdisciplinary communication and collaborative skills.
  • Demonstrations of example analyses, methods, technologies, and/or software to expose biomedical, behavioral, and clinical trainees to computational research that could inspire them to pursue further transdisciplinary training or collaborations.
  • Course modules that focus on learning the ethical, social, and cultural impact of computational approaches in infectious- and immune-mediated disease research for clinical use.
  • Biomedical research informatics and data science training to maximize data comparability and facilitate data harmonization.
  • Training in development of artificial intelligence/machine learning data science approaches to data analysis, inclusive of an understanding of ethical concerns and addressing health disparities.
  • Future career development in data science innovation for populations that experience disparities in infectious diseases, including pediatric and maternal populations.
  • Provide skills development activities that focus on the development of independent researchers who may wish to refocus their careers on data science/innovation for infectious diseases.
  • Strategies for data science skills and career development for underserved populations that experience infectious disease disparities, including pediatric and maternal populations.
  • Applications are strongly encouraged from programs with strong Diversity Recruitment Plans and demonstrated capability of PIs to successfully recruit and engage diverse participants.

This NOSI is intended to support projects that are relevant to infectious- and immune-mediated disease research and reach a significant number of trainees in a relevant subdomain. Supplemental training modules should bring relevant data science expertise and computational components to the existing R25 training and mentorship program.

Eligibility

  • Only existing R25 awardees currently funded by one of the participating IC’s are eligible to apply.
  • Domestic (U.S.) Entities are eligible to apply. Non-domestic (non-U.S.) Entities (Foreign Institutions)are eligible to apply. Non-domestic (non-U.S.) components of U.S. Organizationsare eligible to apply.
  • Proposed project period of the supplement cannot extend beyond the project period of the parent award.
  • Parent grant may not be in its first or last 12 months of award at the time the supplement is requested.
  • Awards in a No Cost Extension (NCE) by the time the supplement would be made are ineligible.
  • Applicants are strongly encouraged to contact the program contact at the IC supporting the parent award before submitting an application in response to this FOA in order to ensure that the proposed training aligns with priorities of the IC.
  • Project must be within scope of the parent award.

Application and Submission Information

Applications for this initiative must be submitted using the following opportunity or its subsequent reissued equivalent.

  • PA-20-272 - Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)

All instructions in the SF424 (R&R) Application Guide and PA-20-272 must be followed, with the following additions:

  • Application Due Date(s) – February 13, 2023 and February 13, 2024, by 5:00 PM local time of applicant organization.
  • For funding consideration, applicants must include “NOT-AI-23-010” (without quotation marks) in the Agency Routing Identifier field (box 4B) of the SF424 R&R form. Applications without this information in box 4B will not be considered for this initiative.
  • Applicants are strongly encouraged to notify the program contact at the Institute supporting the parent award that a request has been submitted in response to this FOA in order to facilitate efficient processing of the request.

Budget

  • Requests may be for one year of support only.
  • The maximum requested direct costs may not exceed $100,000. For NIMH applications, requested direct costs may not exceed $50,000.

Inquiries

Please direct all inquiries to:

Office of Data Science and Emerging Technologies
National Institute of Allergy and Infectious Diseases (NIAID)
Telephone: 301-761-7328
Email: datascience-FOA@niaid.nih.gov

Juli Klemm, Ph.D.
National Cancer Institute (NCI)
Telephone: 202-853-7889
Email: klemmj@mail.nih.gov

Rebecca Rosen, Ph.D.
Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
Telephone: 301-827-4602
Email: rebecca.rosen@nih.gov

Lori A. J. Scott-Sheldon, Ph.D.
National Institute of Mental Health (NIMH)
Telephone: 301-792-2309
Email: lori.scott-sheldon@nih.gov

Bryan Kim, Ph.D.
Office of Data Science Strategy (ODSS)
Telephone: 301-827-1732
Email: bryan.kim@nih.gov