Research Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on September 14, 2018

Feed last updated: December 16 2018 6:29 am
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
Institutional Training Programs to Advance Translational Research on Alzheimer's Disease and AD Related Dementias (T32 - Clinical Trial Not Allowed)

PAR-18-524

NIA

Dec 21 2017

Jan 08 2021

This Funding Opportunity Announcement (FOA) seeks to enable the development of a diverse, translational research workforce capable of participating and/or leading cross-disciplinary team science programs focused on advancing therapy development for Alzheimer's disease (AD) and AD-related dementias. This FOA will support institutional training programs for predoctoral and postdoctoral level researchers with diverse educational backgrounds (i.e. basic biology, translational and clinical research, data science). The program invites eligible institutions to develop interdisciplinary training programs that will provide trainees with the knowledge and skills in data science, disease biology, and traditional and emerging drug discovery disciplines necessary to conduct rigorous and cutting-edge basic, translational and clinical research for AD and AD-related dementias.

data science, big data, computational, quantitative science, bioinformatics
Improving Individual and Family Outcomes through Continuity and Coordination of Care in Hospice (R21 Clinical Trial Optional)

PA-18-166

NINR

Nov 07 2017

Jan 08 2020

This funding opportunity announcement (FOA) seeks to stimulate research that focuses on reducing negative individual and family outcomes related to unwanted transitions at the end of life and optimizing the individual and family outcomes related to high quality coordination of care of care of individuals who are enrolled in hospice. This FOA emphasizes individuals who are receiving hospice care and their family caregivers, in any setting where hospice care is provided, including their home, a relatives home, a hospice inpatient facility, an assisted living facility, a short- or long-term care facility, or a hospital.

data science
Improving Individual and Family Outcomes through Continuity and Coordination of Care in Hospice (R01 Clinical Trial Optional)

PA-18-148

NINR

Nov 07 2017

Jan 08 2020

This funding opportunity announcement (FOA) seeks to stimulate research that focuses on reducing negative individual and family outcomes related to unwanted transitions at the end of life and optimizing the individual and family outcomes related to high quality coordination of care of care of individuals who are enrolled in hospice. This FOA emphasizes individuals who are receiving hospice care and their family caregivers, in any setting where hospice care is provided, including their home, a relatives home, a hospice inpatient facility, an assisted living facility, a short- or long-term care facility, or a hospital.

data science
Health Promotion Among Racial and Ethnic Minority Males (R21 Clinical Trial Optional)

PA-18-162

NINR

Nov 07 2017

Jan 08 2020

This initiative seeks applications that propose to stimulate and expand research in the health of minority men. Specifically, this initiative is intended to: 1) enhance our understanding of the numerous factors (e.g., sociodemographic, community, societal, personal) influencing the health promoting behaviors of racial and ethnic minority males across the life cycle, and 2) encourage applications focusing on the development and testing of culturally and linguistically appropriate health-promoting interventions designed to reduce health disparities among racially and ethnically diverse males age 18 and older.

data science, big data
Health Promotion Among Racial and Ethnic Minority Males (R01 Clinical Trial Optional)

PA-18-144

NINR

Nov 07 2017

Jan 08 2020

This initiative seeks applications that propose to stimulate and expand research in the health of minority men. Specifically, this initiative is intended to: 1) enhance our understanding of the numerous factors (e.g., sociodemographic, community, societal, personal) influencing the health promoting behaviors of racial and ethnic minority males across the life cycle, and 2) encourage applications focusing on the development and testing of culturally and linguistically appropriate health-promoting interventions designed to reduce health disparities among racially and ethnically diverse males age 18 and older.

data science, big data
HEAL Initiative: Stimulating Peripheral Activity to Relieve Conditions (SPARC): Anatomical and Functional Mapping of Pain-Related Visceral Organ Neural Circuitry (U01 Clinical Trial Optional)

RFA-RM-19-001

RMOD

Dec 10 2018

Feb 09 2019

The purpose of this NIH Funding Opportunity Announcement (FOA) is to invite research applications proposing to map neural circuitry mediating visceral organ pain. This FOA is part of the Stimulating Peripheral Activity to Relieve Conditions (SPARC) Common Fund program and is coordinated with the Translational Devices to Treat Pain (TDTP) initiatives of the NIH HEAL program (see Companion Funding Opportunities above). Detailed mapping of pain-mediating circuitry originating from visceral organ afferents will leverage the SPARC program to produce maps that could accelerate the development of non-addictive approaches to treat pain.

data science
Harnessing Big Data to Halt HIV (R01 Clinical Trial Optional)

PAR-18-764

NIAID

Apr 20 2018

May 08 2021

The purpose of this Funding Opportunity Announcement (FOA) is to promote research that transforms understanding of HIV transmission, the HIV care continuum, and HIV comorbidities using Big Data Science (BDS). This FOA will support projects to assemble diverse big data sources, conduct robust and reproducible analyses, and create meaningful visualizations of big data, as well as, engage ethical experts where appropriate to ensure the development of this scientific area is guided by ethical principles.

data science, big data, informatics, bioinformatics, machine learning
Getting to Zero: Understanding HIV Viral Suppression and Transmission in the United States (R01 Clinical Trial Not Allowed)

PAR-18-411

NIAID

Nov 16 2017

Mar 14 2020

The purpose of this Funding Opportunity Announcement (FOA) is to support grants to improve measurement and understanding of viral suppression and HIV transmission in the United States (U.S.) using population-level epidemiology and novel tools from Big Data science approaches and m/eHealth. The outcome of this research will uncover new knowledge from data to build more effective and context-specific HIV control strategies for the U.S. epidemic.

data science, big data, computational, informatics, bioinformatics, data integration, common data
Enhancing Data Management and Sharing in NIEHS-Funded Research Grants (Admin Supp Clinical Trial Not Allowed)

PA-19-025

NIEHS

Oct 12 2018

Feb 02 2021

The purpose of this administrative supplement is to enhance data management and sharing in existing NIEHS-funded R01 grants through the integration of new expertise in data and information sciences, or knowledge management, into the research team. This initiative aims to support activities that enhance one or more aspects of research project data management, including improving the capture, storage, organization, management, integration, presentation, and dissemination of digital biomedical research data.

data science, data integration, common data
Discovery of Biomarkers, Biomarker Signatures, and Endpoints for Pain (R61/R33 Clinical Trial Optional)

RFA-NS-18-041

NINDS

Aug 02 2018

Mar 13 2020

The purpose of this Funding Opportunity Announcement (FOA) is to support the discovery of promising candidate biomarkers that will facilitate the development of non-opioid therapeutic options for the treatment of pain conditions. The goal of this FOA is to encourage a biomarker discovery process that will result in the development of pain biomarkers that can withstand rigorous clinical and analytical validation. It is hoped that an increased availability of rigorous biomarkers for pain will facilitate the discovery and development of transformational non-opioid therapeutics for pain.

data science, computational, informatics, bioinformatics

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