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
Data Science Research: Personal Health Libraries for Consumers and Patients (R01 Clinical Trial Optional)

PAR-19-072

NLM

Nov 19 2018

Jul 31 2021

The National Library of Medicine seeks applications for novel informatics and data science approaches that can help individuals gather, manage and use data and information about their personal health. A goal of this program is to advance research and application by patients and the research community through broadly sharing the results via publication, and through open source mechanisms for data or resource sharing.

data science, big data, computational, informatics
Clinical and Translational Science Award (U54 Clinical Trial Optional)

PAR-18-940

NCATS

Sep 27 2018

Aug 16 2021

The purpose of this funding opportunity announcement (FOA) is to invite applications to participate in the Clinical and Translational Science Award (CTSA) Program which supports high quality translational science and clinical research locally, regionally and nationally and fosters innovation in research methods, training, and career development.

data science, informatics
BRAIN Initiative: Team-Research BRAIN Circuit Programs - TeamBCP (U19 Clinical Trial Required)

RFA-NS-19-002

NINDS

Aug 29 2018

Oct 31 2020

This FOA will support integrated, interdisciplinary research teams from prior BRAIN technology and/or integrated approaches teams, and/or new projects from the research community that focus on examining circuit functions related to behavior, using advanced and innovative technologies. The goal will be to support programs with a team science approach that can realize meaningful outcomes within 5-plus years. Awards will be made for 5 years, with a possibility of one competing renewal. Applications should address overarching principles of circuit function in the context of specific neural systems underlying sensation, perception, emotion, motivation, cognition, decision-making, motor control, communication, or homeostasis. Applications should incorporate theory-/model-driven experimental design and should offer predictive models as deliverables. Applications should seek to understand circuits of the central nervous system by systematically controlling stimuli and/or behavior while actively recording and/or manipulating relevant dynamic patterns of neural activity and by measuring the resulting behaviors and/or perceptions. Applications are expected to employ approaches guided by specified theoretical constructs, and are encouraged to employ quantitative, mechanistic models where appropriate. Applications will be required to manage their data and analysis methods in a prototype framework that will be developed and used in the proposed U19 project and exchanged with other U19 awardees for further refinement and development. Model systems, including the possibility of multiple species ranging from invertebrates to humans, can be employed and should be appropriately justified. Budgets should be commensurate with multi-component teams of research expertise including neurobiologists, statisticians, physicists, mathematicians, engineers, computer scientists, and data scientists, as appropriate - that seek to cross boundaries of interdisciplinary collaboration.

data science, computational
BRAIN Initiative: Research Opportunities Using Invasive Neural Recording and Stimulating Technologies in the Human Brain (U01 Clinical Trial Required)

RFA-NS-19-001

NINDS

Aug 28 2018

Oct 20 2020

Invasive surgical procedures provide the unique ability to record and stimulate neurons within precisely localized brain structures in humans. Human studies using invasive technology are often constrained by a limited number of patients and resources available to implement complex experimental protocols and are rarely aggregated in a manner that addresses research questions with appropriate statistical power. Therefore, this RFA seeks applications to assemble diverse, integrated, multi-disciplinary teams that cross boundaries of interdisciplinary collaboration to overcome these fundamental barriers and to investigate high-impact questions in human neuroscience. Projects should maximize opportunities to conduct innovative in vivo neuroscience research made available by direct access to brain recording and stimulating from invasive surgical procedures. Projects should employ approaches guided by specified theoretical constructs and quantitative, mechanistic models where appropriate.
Awardees will join a consortium work group, coordinated by the NIH, to identify consensus standards of practice, including neuroethical considerations, to collect and provide data for ancillary studies, and to aggregate and standardize data for dissemination among the wider scientific community.

data science, computational, common data
Analytical and/or Clinical Validation of a Candidate Biomarker for Pain (R61/R33 Clinical Trial Optional)

RFA-NS-18-046

NINDS

Sep 19 2018

Mar 13 2020

The overarching purpose of this Funding Opportunity Announcement (FOA) is to promote the validation of strong candidate biomarkers and endpoints for pain that can be used to facilitate the development of non-opioid pain therapeutics from discovery through Phase II clinical trials. Specifically, the focus of this FOA is on advanced analytical and clinical validation of pain biomarkers, biomarker signatures, and/or endpoints using retrospective and/or prospective methods. It is assumed that: 1) a candidate biomarker has already been identified, 2) assay technology has already been developed, and 3) a working hypothesis regarding Context of Use is in place. Research supported by this FOA will ultimately demonstrate that biomarker or endpoint change is reliably correlated with variables such as clinical outcome, pathophysiologic subsets of pain, therapeutic target engagement or response to a pain therapeutic; in addition, biomarker response will demonstrate specificity to the pain condition or therapeutic as demonstrated at multiple clinical sites. The goal of this FOA is to facilitate the advancement of robust and reliable biomarkers, biomarker signatures and endpoints of pain to application in clinical trials (Phase II clinical trials and beyond) and in the spectrum of clinical practice.

data science, computational, informatics, bioinformatics
Alzheimer's Disease Research Centers (P30 Clinical Trial Not Allowed)

RFA-AG-20-004

NIA

Nov 02 2018

Apr 26 2019

This Funding Opportunity Announcement (FOA) invites applications for P30 Alzheimer's Disease Research Centers. NIA-designated Alzheimer's Disease Research Centers (ADRCs) serve as major sources of discovery into the nature of Alzheimers disease (AD) and related dementias and into the development of more effective approaches to prevention, diagnosis, care, and therapy. They contribute significantly to the development of shared resources that support dementia-relevant research, and they collaborate and coordinate their research efforts with other NIH-funded programs and investigators.

data science, computational
Alzheimer Centers for Discovery of New Medicines (U54 Clinical Trial Not Allowed)

RFA-AG-19-010

NIA

Aug 02 2018

Feb 02 2019

This Funding Opportunity Announcement (FOA) invites U54 Cooperative Agreement applications aiming to establish multi-component Alzheimer Centers for the Discovery of New Medicines. The overarching purpose of this Centers program is to improve, diversify and reinvigorate the Alzheimers disease (AD) drug development pipeline by accelerating the characterization and experimental validation of next generation therapeutic targets and, integrating the targets into drug discovery campaigns. In addition, this program aims to de-risk potential therapeutics to the point that industry will invest in them, accelerating the delivery of new drugs to AD patients. To this end, the funded Centers will design, develop and disseminate tools that support target enabling packages (TEPs) for the experimental validation of novel, next generation therapeutic targets, including those emanating from the NIA-funded, target discovery programs such as AMP-AD and, initiate early stage drug discovery campaigns against the enabled targets.

data science, computational, bioinformatics, common data
Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness (ALACRITY) Research Centers (P50 Clinical Trial Optional)

PAR-18-701

NIMH

Mar 05 2018

May 19 2020

This Funding Opportunity Announcement (FOA) invites applications for centers to support transdisciplinary teams of clinical and mental health services researchers, behavioral scientists, social scientists, health information and communications technologists, health systems engineers, decision scientists, and mental health stakeholders (e.g., service users, family members, clinicians, payers) to engage in high-impact studies that will significantly advance clinical practice and generate knowledge that will fuel transformation of mental health care in the United States. Advanced Laboratories for Accelerating the Reach and Impact of Treatments for Youth and Adults with Mental Illness (ALACRITY) Research Centers will support the rapid development, testing, and refinement of novel and integrative approaches for (1) optimizing the effectiveness of therapeutic or preventive interventions for mental disorders within well-defined target populations; (2) organizing and delivering optimized mental health services within real world treatment settings; and (3) continuously improving the quality, impact, and durability of optimized interventions and service delivery within diverse care systems. The ALACRITY Centers program is intended to support research that demonstrates an extraordinary level of synergy across disciplines and has a high potential for increasing the public health impact of existing and emerging mental health interventions and service delivery strategies. The Centers are intended for transdisciplinary projects that could not be achieved using standard research project grant mechanisms. The ALACRITY Centers program is also expected to provide opportunities for graduate students, postdoctoral researchers, and new investigators to participate in transdisciplinary, T2 translational mental health research.

data science, informatics
A Practice-Based Research Network to Transform Mental Health Care: Science, Service Delivery and Sustainability (U19 Clinical Trial Required)

RFA-MH-19-225

NIMH

Nov 29 2018

Mar 01 2019

The purpose of this funding opportunity announcement is to support a practice-based research network in the United States to transform the development, delivery, and sustainability of evidence-based mental health practices and services. Through a research consortium embedded within large and integrated healthcare delivery systems (public and/or commercial systems) that serve representative populations, this Network would result in a continuously learning healthcare system as defined by the Institute of Medicine, to create a continuous cycle or feedback loop in which scientific evidence informs clinical practice while data gathered from clinical practice and administrative sources inform scientific investigation.

data science, big data, computational, informatics, common data

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