Research and Training Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on August 7, 2019

Feed last updated: December 05 2019 7:50 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
Notice of Intent to Publish a Funding Opportunity Announcement for NLM Institutional Grants for Research Training in Biomedical Informatics and Data S NOT-LM-16-001 NLM Oct 01 2015 N/A Notice Intent Publish Funding Opportunity Announcement NLM Institutional Grants Research Training Biomedical Informatics Data Science T15) Notice Number: NOT-LM-16-001 Key Dates Release Date:   October 1, 2015 Estimated Publication Date Announcement: February 2016  First Estimated Application Due Date: April 2016  Earliest Estimated Award Date: December 2016  Earliest Estimated Start Date: July 2017  Related Announcements None     Issued National Library Medicine NLM) Purpose National Library Medicine NLM) intends publish Funding Opportunity Announcement FOA) solicit applications institutional training programs research careers biomedical informatics data science. Notice being provided allow potential applicants sufficient time develop meaningful collaborations responsive projects.  FOA expected be published the winter 2016 an expected application due date the spring 2016. FOA utilize T15 activity code. Details the planned FOA provided below. Research Initiative Details Notice encourages investigators institutions expertise insights research training biomedical informatics data science begin consider applying this FOA. informatics training programs meet growing national need investigators trained bring computer science, data science other information sciences bear problems domains such health care, public health, basic biomedical research, clinical translational research other health-related areas. FOA be open both existing NLM training programs new organizations seek support research training programs biomedical informatics data science. Applicants request funds pre-doctoral trainees post-doctoral trainees. While NLM’s research training programs not part the National Research Service Awards NRSA) program, NLM's stipends, tuition support most policies similar those NRSA training programs. competition NLM's informatics training program awards held every 5 years. previous FOA this program, issued 2011, available http://www.nlm.nih.gov/ep/trainingdirectors.html, along current stipend levels other information NLM’s informatics training programs. However, interested parties should note the previous announcement does reflect importance biomedical data science, is most useful a summary the kinds information relevant a full application. APPLICATIONS NOT BEING SOLICITED THIS TIME. Inquiries Please direct inquiries to: Valerie Florance, PhD National Library Medicine NLM) Telephone: 301-496-4621 Email: florancev@mail.nih.gov data science, informatics
Notice of Intent to Publish a Funding Opportunity Announcement for Human Heredity and Health in Africa (H3Africa): Global Health Bioinformatics Resear NOT-RM-16-020 Roadmap May 17 2016 N/A Notice Intent Publish Funding Opportunity Announcement Human Heredity Health Africa H3Africa): Global Health Bioinformatics Research Training Program U2R) Notice Number: NOT-RM-16-020 Key Dates Release Date: 17, 2016 Estimated Publication Date Announcement: July 16, 2016  First Estimated Application Due Date: November 15, 2016  Earliest Estimated Award Date: July 1, 2017  Earliest Estimated Start Date: July 1, 2017  Related Announcements NOT-RM-16-016 NOT-RM-16-017 NOT-RM-16-014 NOT-RM-16-015 NOT-RM-16-019 NOT-RM-16-018   Issued Office Strategic Coordination Common Fund) National Human Genome Research Institute NHGRI) Fogarty International Center FIC) Purpose Office Strategic Coordination Common Fund), other NIH Institutes Centers ICs), intends promote new initiative publishing Funding Opportunity Announcement FOA) solicit applications foreign institutions low middle income LMIC) African countries support development new bioinformatics research training programs. Applicants be invited propose graduate degree long term postdoctoral bioinformatics training collaboration other African high income country HIC) collaborators.  is expected these training programs address need bioinformatics research expertise the H3Africa Consortium result sustainable centers bioinformatics research training relevant global health research the African continent. Notice being provided allow potential applicants sufficient time develop meaningful collaborations responsive projects to complete required institutional registrations necessary be able submit application the NIH.  FOA expected be published Summer 2016 part the H3Africa initiative h3africa.org) an expected application due date Fall 2016. FOA utilize U2R activity code. Details the planned FOA provided below. Research Initiative Details Notice encourages African investigators begin consider applying this new FOA; researchers institutions significant genomics research capacity have expertise bioinformatics research training experience African LMICs should particularly consider applying.  Collaborative multidisciplinary bioinformatics research training proposals also encouraged. scope applications responsive this FOA should focused full-time research training a special emphasis instruction the design rigorous reproducible research studies bioinformatics data science related genomics research. Trainees be required be citizens African LMICs affiliated the applicant institution another institution the H3Africa Consortium. Investigators involved H3Africa Research Projects be expected participate H3Africa activities abide H3Africa guidelines, policies, procedures h3africa.org).  APPLICATIONS NOT BEING SOLICITED THIS TIME. Inquiries Please direct inquiries to: Barbara Sina, Ph.D. Fogarty International Center FIC) Telephone: 301-402-9467 Email: sinab@mail.nih.gov   data science, bioinformatics
Notice of Intent to Publish a Funding Opportunity Announcement for Generate an Intergenerational Precision Medicine Resource for the Study of Factor NOT-HL-19-727 NHLBI Nov 19 2019 N/A Notice Intent Publish Funding Opportunity Announcement Generate Intergenerational Precision Medicine Resource the Study Factor VIII Immunogenicity Severe Hemophilia A: Biospecimen Data Resource Center U24) Notice Number: NOT-HL-19-727 Key Dates Release Date: November 19, 2019 Estimated Publication Date Funding Opportunity Announcement: March 02, 2020 First Estimated Application Due Date: June 25, 2020 Earliest Estimated Award Date: January 05, 2021 Earliest Estimated Start Date: January 05, 2021 Related Announcements NOT-HL-19-726 Issued National Heart, Lung, Blood Institute NHLBI) Purpose Division Blood Diseases Resources within National Heart, Lung, Blood Institute NHLBI) intends promote new initiative publishing Funding Opportunity Announcement FOA) solicit applications the following: Generate Intergenerational Precision Medicine Resource the Study Factor VIII Immunogenicity Severe Hemophilia A: Biospecimen Data Resource Center, (U24 Resource-Related Research Projects - Cooperative Agreement). Notice Intent Publish NOITP) being provided allow potential eligible applicants sufficient time develop competitive responsive milestone-driven scientific projects thus prepare applicants the timely submission an application. anticipated FOA utilize the U24 Resource-Related Research Projects - Cooperative Agreement activity code issue single award up seven years the Biospecimen Data Resource Center will provide data management, laboratory, biospecimen support necessary establish anticipated FOA, Intergenerational Precision Medicine Resource the Study Factor VIII Immunogenicity Severe Hemophilia A”. role the Biospecimen Data Resource Center to provide overall project coordination, administration, data biospecimen management, biostatistics/data analytics support, well laboratory including multi-omics) biorepository expertise development this unique resource. companion award the Clinical Coordinating Center UG3/UH3)(see NOT-19-HL-726) anticipated be in parallel the Biospecimen Data Resource Center to allow the establishment this unique biospecimen resource. Clinical Coordinating Center FOA provide investigators the opportunity propose design a unique Intergenerational Precision Medicine Resource, derived a de novo antenatal/ neonatal pediatric cohort severe hemophilia and annotated robust intergenerational clinical demographic data, the purpose enabling future mechanistic translational studies factor VIII immunogenicity tolerance. key characteristic the Biospecimen Data Resource Center application be completion core milestones. core milestone defined a scheduled event the project timeline signifies completion a major project stage activity. Milestones must performance-based achieve completion the Intergenerational Precision Medicine Resource on time on budget must established align the bi-phasic mechanism the Clinical Coordinating Center award. Milestones must established both first three years coinciding the UG3 phase the Clinical Coordinating Center award) subsequent four years coinciding the UH3 phase the Clinical Coordinating Center award) the project. Satisfactory completion the milestones the first three years be assessed administratively NHLBI determine eligibility continue award. Due the collaborative parallel nature these FOAs, NHLBI enter negotiation the Biospecimen Data Resource Center achieve early phase-out the award Clinical Coordinating Center and/or Biospecimen Data Resource Center progress deemed inadequate upon NHLBI administrative review. Details the planned FOA provided below. Research Initiative Details planned Funding Opportunity Announcement FOA) support applications a Biospecimen Data Resource Center will support development an Intergenerational Precision Medicine Resource the study factor VIII immunogenicity hemophilia by providing expertise relevant laboratory including multi-omics) methodology, biorepository science, data science, bioinformatics, complex statistical including trans-omics) analysis, project management, administrative support. Biospecimen Data Resource Center applications be expected demonstrate required scientific laboratory expertise response capability lead coordinate rapid collection, quality control QC), well implementation scientifically-prioritized tissue blood biospecimen acquisition protocols storage distribution procedures. Responsive applications emphasize on-site and/or collaborative scientific laboratory expertise multi-omics, immunology, microbiology coagulation science; expertise biorepository science collection, processing, shipping, storage all types liquid tissue biospecimens); expertise the management microtechnological assay small volume specimens derived neonates children; the capability dispatch oversee expert specimen collection well timely processing the field. Biospecimen Data Resource Center also provide centralized, facilitated approaches complex data management integration, QC procedures, data integrity security, the necessary statistical support ensure conduct well-designed precision medicine studies timely large data including trans-omics) analysis. data collection overseen the Biospecimen Data Resource Center be expected adhere FAIR Findable, Accessible, Interoperable, Reusable) principles ensure transparency, reproducibility, reusability Wilkinson MD, et al., Scientific Data 2016), use standard protocols supported through NIH PhenX toolkit https://www.phenxtoolkit.org), to incorporate appropriate well-validated patient-reported outcome PRO) measures supported through, comparable those supported through NIH Toolbox http://www.healthmeasures.net/explore-measurement-systems/nih-toolbox). Responsive applications must therefore demonstrate requisite data science, bioinformatics, analytic including integrative omics analytics) epidemiological expertise, well experience coordinating conduct multiple multicenter studies maternal/fetal, neonatal and/or pediatric populations. Responsive applications must also demonstrate relevant biostatistical expertise experience the design intergenerational studies, experience the integrative analyses large datasets include multi-omics data; project management expertise coordinating managing large multicenter studies the target populations; laboratory biorepository science expertise; requisite expertise support complex big data biospecimen tracking management; the capacity development maintenance a study coordination web site. Biospecimen Data Resource Center be supported parallel a companion Clinical Coordinating Center see NOT-19-HL-726 for specific goals be achieved through establishment this Intergenerational Precision Medicine Resource). Applicants be expected propose milestone-driven activities support, collaboration the Clinical Coordinating Center: initial three-year phase the project including, not limited to: scientific operational Intergenerational Severe Hemophilia Precision Medicine Resource protocol development; development implementation the Resource’s Operating Procedures, data biospecimen management tracking systems, a study coordination web site; conduct laboratory pilot studies; development manual procedures didactic preparation sites implement feasible scientific operational procedures data collection quality control; development manuals procedures didactic preparation materials implement feasible scientific operational procedures biospecimen collection, processing, testing, shipping, storage; Development implementation procedures provide data, laboratory, biospecimen management support clinical sites will enrolling following participants during three-year phase. second four-year phase the project include, not limited to: Full implementation all procedures provide data, laboratory biospecimen management support clinical sites will enrolling following participants; Complete collection the protocol data biospecimens the final build a sharable fully annotated biorepository; Data analysis dissemination findings; Submission the public-use data biospecimens the NIH repository resources. Funding Information Estimated Total Funding 1,343,000 total costs Expected Number Awards 1 Estimated Award Ceiling 872,000 direct costs Primary CFDA Numbers 93.839 Anticipated Eligible Organizations Public/State Controlled Institution Higher Education Private Institution Higher Education Nonprofit 501(c)(3) IRS Status than Institution Higher Education) Small Business For-Profit Organization than Small Business) State Government Indian/Native American Tribal Government Federally Recognized) County governments Independent school districts Public housing authorities/Indian housing authorities Indian/Native American Tribally Designated Organization Native American tribal organizations than Federally recognized tribal governments) U.S. Territory Possession Indian/Native American Tribal Government than Federally Recognized) Regional Organization Applications not being solicited this time.  Inquiries Please direct inquiries to: Iman K. Martin, PhD, MPH, MSNational Heart, Lung, Blood Institute NHLBI)301-435-0065FactorVIII@DBDR.NIH.NHLBI.gov  
Notice of Intent to Publish a Funding Opportunity Announcement for Childrens Health Exposure Analysis Resource: Exposure Data Repository and Resource NOT-ES-15-009 NIEHS Feb 10 2015 N/A Notice Intent Publish Funding Opportunity Announcement Children’s Health Exposure Analysis Resource: Exposure Data Repository Resource Statistical Analysis Methods Development U2C) Notice Number: NOT-ES-15-009 Key Dates Release Date: February 10, 2015   Estimated Publication Date Announcement: March 2015   First Estimated Application Due Date: April 2015   Earliest Estimated Award Date: September 2015   Earliest Estimated Start Date: September 2015 Related Announcements NOT-ES-15-007 NOT-ES-15-010 Issued National Institute Environmental Health Sciences NIEHS) Purpose National Institute Environmental Health Sciences NIEHS) intends promote integration environmental factors studies children’s health publishing three distinct integrated Funding Opportunity Announcements FOA) solicit applications support a Children’s Health Exposure Analysis Resource CHEAR).  CHEAR focuses specifically providing access infrastructure comprehensive exposure analysis existing epidemiological cohort studies involving research children’s health.  Exposures measured CHEAR encompass breadth the exposome, totality biological, psycho-social, chemical physical exposures through use both targeted non-targeted methods analysis.  program also include characterization associated biological response indicators provide additional information exposures their mechanistic effects.  CHEAR provide standardized analysis samples data well a data repository.  will enable integration exposure analysis across studies integrate combined contributions multiple environmental factors determinants children’s health across range diseases disorders.  FOAs intended release March 2015 an expected application due date late Spring 2015. FOA utilize U2C activity codes. Details the planned FOA provided below. Research Initiative Details CHEAR Exposure Data Repository Resource Statistical Analysis Methods Development (UC2) provide comprehensive consulting support the analysis interpretation comprehensive children’s health data generated within outside network. Applicants should expertise the development application statistical methodologies informatics tools analyze integrate diverse set data generated enhance capabilities the network. resource also require significant data science expertise order develop maintain accessible repository all data generated within network.  database should include tools support broad sharing, analysis, interoperability exposure data data generated within outside network. accomplish this, central task be leading community-based process developing implementing data metadata standards exposures. Resource interact other CHEAR components. APPLICATIONS NOT BEING SOLICITED THIS TIME. Inquiries Please direct inquiries to: David M. Balshaw, PhD National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-2448 Email: Balshaw@nih.gov Claudia Thompson, PhD National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-4638 Email: Claudia.Thompson@nih.gov   data science, informatics
Notice of Intent to Publish a Funding Opportunity Announcement for A Practice-Based Research Network to Transform Mental Health Care: Science, Service NOT-MH-18-014 NIMH Jan 24 2018 N/A Notice Intent Publish Funding Opportunity Announcement A Practice-Based Research Network Transform Mental Health Care: Science, Service Delivery & Sustainability U19 Clinical Trial Required) Notice Number: NOT-MH-18-014 Key Dates Release Date:January 24, 2018 Estimated Publication Date Funding Opportunity Announcement: 03/01/2018  First Estimated Application Due Date: 06/01/2018 Earliest Estimated Award Date: 03/01/2019 Earliest Estimated Start Date: 03/01/2019 Related Announcements None Issued National Institute Mental Health NIMH) Purpose NIMH intends publish Funding Opportunity Announcement FOA) Cooperative Agreement U19) solicit applications a practice-based research network transform mental health care.   planned FOA support practice-based research network the United States transform development, delivery, sustainability evidence-based mental health practices services. Through research consortium embedded within large integrated healthcare delivery systems, Network result a continuously learning healthcare system defined the Institute Medicine, create ldquo;a continuous cycle feedback loop which scientific evidence informs clinical practice while data gathered clinical practice administrative sources inform scientific investigation.” Network support wide range practice-based research, including pragmatic comparative effectiveness trials focused optimizing testing scalable preventive therapeutic interventions services research focused identifying intervening mutable factors increase access, engagement, continuity, equity, efficiency/value, quality mental health care. Leveraging practice-based networks platforms launching large-scale studies offers efficient alternative those conducted de novo trials.   Demonstrable capacities efficiencies needed accomplish following: Rapidly identify, recruit enroll large representative patient populations effectiveness pragmatic trials align NIMH priorities; Harmonize electronic health record EHR) data across multiple integrated systems research use, include EHR phenotyping; Collect biologic material future analyses; Provide rapid responses address urgent questions federal, state, other key stakeholders e.g., questions related the clinical epidemiology mental disorders and/or questions related the uptake and outcomes associated mental health interventions best practices); Study low base-rate events e.g., suicide, autism spectrum disorders, first episode psychosis, other mental health conditions are difficult identify, predict, treat, manage) using advancing innovative methodologies e.g., predictive analytics) resources capitalize the network’s unique sophistication health information technology, overall size, research efficiencies; Test strategies reduce disparities mental health status, service utilization, quality care, treatment outcomes the health people mental illness, including disparities medical comorbidities among adults serious mental illness youth serious emotional disturbance; Develop strategies using implementation science secure stakeholder commitment adopt, implement, scale-up, sustain best practices the patient, provider, health system levels.  Notice being provided allow potential applicants sufficient time develop meaningful collaborations appropriate projects.  FOA expected be published March 2018 an expected application due date June 2018.   FOA utilize U19 activity code. Details the planned FOA provided below. Research Initiative Details Notice encourages investigators expertise insights this area begin consider applying this new FOA. NETWORK GOALS   Network expected function a resource the broad mental health research community, its impact be assessed through achievement the following activities: Maintaining accessibility relevant patient, provider, health system data; Facilitating coordinating access these data research conducted Network-affiliated non-affiliated investigators using approaches solutions optimize use the Network are conducive collaborative efforts; Maintaining high levels expertise competency scientific areas relevant the Network, US healthcare system stakeholders, federal, state, other key stakeholders; Facilitating interactions research collaborations among non-network affiliated) mental health researchers might benefit these data; Increasing participation Network-affiliated non-affiliated investigators independently funded research, including efforts increase number, scope, scientific impact research projects conducted external investigators collaboration the Network; Ensuring study samples include adequate representation disparity populations examine disparity reductions mental health status, service utilization, treatment outcomes the health people mental illness, including disparities medical comorbidities among adults serious mental illness youth serious emotional disturbance; Building established relationships relevant constituent groups e.g., patients, providers, administrators, payors, relevant federal state agencies) inform research questions, attending front-end infrastructure secure stakeholder commitment adopt, implement sustain successful practices products developed within Network;  Developing testing strategies using implementation science) encourage adoption, quality, scale-up, sustainability new innovations existing best practices; Developing maintaining capacity rapidly respond and address urgent questions Network-affiliated healthcare system partners, well federal, state, other key stakeholders; Advancing expertise research methodology ldquo;big data” science, attention implementing findings these advances routine practice; Conducting well-powered studies, include least large-scale pragmatic trial described below) definitively answer research question high importance impact whose findings, whether positive negative, be used the Network’s healthcare system(s) improve practice an identifiable measurable way; Conducting pilot projects described below directly funded the Network) will allow Network external investigators develop competitive applications funding large-scale research projects; Including mid-career investigators positions leadership fostering careers junior investigators;  Developing utilizing simulation approaches model potential public health impact implementing research informed approaches to guide decision making; Harnessing perspectives new emerging fields e.g., health information communications technology, health systems engineering, decision science, behavioral economics) transform clinical research practice. practice-based research network mental health capitalize the successes and lessons learned other such networks mental health other disease areas.     OVERALL STRUCTURE THE NETWORK   effectively conduct large pilot projects to achieve aforementioned network goals, proposed practice-based research network structure be encompassed within Administrative Methods Core.    Administrative Core (three functional units): 1) Organizational Unit coordinate Network’s administrative functions, provide organizational administrative support activities, coordinate evaluation the Network's research, efficiencies created the Network, public health impact its activities.    2) Outreach External Collaboration Unit work increase usage the Network Network non-Network investigators, manage requests data resources, coordinate opportunities junior mid-career investigators, disseminate approaches research findings products.   3) Emerging Issues Unit develop rapid systematic capability response real-time inquiries policy practice relevant requests Network federal, state, other stakeholders leaders.  rapid responses capitalize Network data thus must include data pulls data analysis network healthcare systems.  will also require synthesis available literature.  capacity include transparent process clarify key question(s) being asked, level detail the response, the format timeline a response.     Methods Core (two functional units):    1) Informatics Unit the key component the Network resource function. Unit should organized support Network informatics infrastructure, notably including data warehouse, to continue improvements data development, informatics tools, etc. Informatics Unit should coordinate informatics-related efforts individual Network member sites well interact other Units Projects below) support functions.   2) Scientific Analysis Unit organized generate new methodology apply state the art analytic approaches the fields big data science, health services research, implementation science.  unit should provide consultation analytic support network affiliated projects develop, identify, engage putative change mechanisms health system research.   Large Pragmatic Trial (clinical trial required):   least large pragmatic trial should proposed part the application. trial should address significant problem the prevention, treatment, management, and/or delivery services people mental disorders served the health systems affiliated the Network. topic should align closely NIMH strategic research priorities, the topic should demonstrated be such value the affiliated healthcare system(s) a priori, is well-developed plan how definitive findings whether are positive negative) affect practice. trial should similar scope an R01 terms the research question(s), because Network infrastructure be leveraged, should significant demonstrative efficiencies created if study conducted de novo.       be responsive, trial design must follow NIMH experimental therapeutics approach; applicants strongly encouraged model RCT the NIMH R01 funding announcement clinical trials test effectiveness treatment, preventive, services interventions http://www.nimh.nih.gov/about/director/2012/experimental-medicine.shtml and https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-17-608.html).   trial should a pragmatic clinical trial which, depending upon level evidence implementation readiness, should designed a hybrid effectiveness-implementation clinical trial Type I, II, III.    Pilot Projects:   Applications pilot projects should include innovative approaches consistent the goals this current announcement. pilots should seek optimize improve care a diverse population patients within defined healthcare systems the network; develop and/or test new platforms, risk algorithms, decision support systems, preventive, therapeutic, services interventions; reduce health disparities engaging intervention targets; improve methodologies systems research, and/or seek strategies continuously improve accessibility, quality, continuity, equity value services delivered within network.   pilots should modeled the NIMH R34 funding announcement clinical trials https://grants.nih.gov/grants/guide/rfa-files/RFA-MH-16-410.html) non-trial services research https://grants.nih.gov/grants/guide/pa-files/PAR-15-323.html).  Pilots or not clinical trials. any pilot is clinical trial, NIMH experimental therapeutics paradigm must followed research questions should similar type scope those supported the NIMH R34 mechanism.   is expected by leveraging infrastructure the network the healthcare systems, efficiencies be created an order magnitude compared similar studies conducted de novo. Pilot projects should involve network-affiliated well non-affiliated investigators wherever possible.   Markers Successful Practice Based Research Network   successful network accomplish following tasks within period the award: Build extend capacity the network conduct prospective trials via successful completion multiple pilot studies types interventions yet studied such networks.  Successfully complete least large pragmatic trial high impact the mental health functioning a large representative population, where positive negative findings lead measurable improvements practice across Network sites. Benchmark costs conducting range studies the network compared historical norms progress toward network-involved trials be completed costs an order magnitude below prior norms relative similar studies conducted de novo. Expand tools create efficiency the rapid conduct effectiveness, services, implementation research studies the network. business models foster data sharing, create efficiencies collaborating network-affiliated non-network-affiliated healthcare systems, strengthen self-sustainability the Network. Successfully disseminate trial results health system Network partners resulting significant change policy and/or practice a direct result study findings. Rapidly disseminate research findings high quality journals consistent NOT-OD-16-149 NOT-OD-18-011. Dissemination Network generated research products, including methodological/analytic approaches, assessment intervention approaches materials, sharable programing e.g., technology based applications), de-identified data. NIMH invest 2 million per year this 5-year project i.e., 10 million total costs over project period).   Foreign institutions NOT eligible apply.   is planned foreign components U.S. institutions be eligible apply.    Funding Information Estimated Total Funding TBD Expected Number AwardsTBD Estimated Award CeilingTBD Primary CFDA NumbersTBD Anticipated Eligible Organizations Non-domestic non-U.S.) Entity Foreign Organization) Applications not being solicited this time. Inquiries Please direct inquiries to: Michael C. Freed, Ph.D., EMT-B  National Institute Mental Health  301-443-3747  michael.freed@nih.gov data science, big data, informatics
Notice of Intent to Publish a Funding Opportunity Announcement for a Coordinating Center for Polygenic Risk Score (PRS) Methods and Analysis for Popul NOT-HG-20-006 NHGRI Oct 22 2019 N/A Notice Intent Publish Funding Opportunity Announcement a Coordinating Center Polygenic Risk Score PRS) Methods Analysis Populations Diverse Ancestry U01 Clinical Trial Allowed) Notice Number: NOT-HG-20-006 Key Dates Release Date: October 22, 2019 Estimated Publication Date Funding Opportunity Announcement: January 13, 2020 First Estimated Application Due Date: June 02, 2020 Earliest Estimated Award Date: March 02, 2021 Earliest Estimated Start Date: June 02, 2021 Related Announcements NOT-HG-20-005 Issued National Human Genome Research Institute NHGRI) Purpose National Human Genome Research Institute intends issue Funding Opportunity Announcement FOA) solicit applications support Coordinating Center Polygenic Risk Score PRS) Methods Analysis Populations Diverse Ancestry. intended FOA be based a concept recently approved the National Advisory Council Human Genome Research accompanying discussion https://www.genome.gov/sites/default/files/media/files/2019-09/Sept2019_... and https://www.youtube.com/watch?v=x0-hw7DoOQU). Notice being provided allow potential applicants sufficient time develop meaningful collaborations responsive projects. FOA expected be published January, 2020 an expected application due date Summer, 2020. FOA utilize U01 activity code. Details the planned FOA provided below. Research Initiative Details goal the intended FOA to establish Coordinating Center provide overall logistical scientific support data science leadership a consortium will collaboratively generate refine PRS populations diverse ancestry integrating existing datasets genomic phenotype data a range complex diseases traits. Together Centers PRS Methods Analysis Populations Diverse Ancestry described a separate Notice), grantees funded under intended FOA form consortium the primary objectives of: 1) leveraging genetic diversity improve applicability PRS develop methods predict health disease risk across diverse populations, for broad range health disease measures; 2) optimizing integration large-scale, harmonized genomic phenotype data facilitate collaborative analysis, dissemination PRS-related data, development related methods resources. Grantees funded under intended Centers Coordinating Center FOAs work collaboratively address following scientific challenges opportunities: Standardizing genomic phenotype data, mapping existing ontologies. Developing methods and consensus approaches incorporate ancestry information PRS. Developing applying methods generate PRS diverse populations refining PRS improve risk prediction. Optimizing integration data according FAIR findable, accessible, interoperable, reusable) practices policies. Data sharing practices be developed enable analyses across consortium; data sharing outreach the scientific community also expected. Disseminating PRS results publicly the form summary statistics datasets, algorithms, publications, related resources. Validating PRS clinical settings engaging ongoing genomic medicine efforts. Identifying secondary uses the data related health disease research making data available such uses, consistent participants’ consent. Recognizing the funded PRS Centers not capture available diverse cohorts, CC also identify invite researchers representing high priority cohorts participate affiliate members provide limited genotyping analysis support them needed. Funding Information Estimated Total Funding NHGRI intends commit approximately 8.8 million FY21-FY25. Expected Number Awards Estimated Award Ceiling budget total costs no than 1.6 million/year HL([1] each five years Primary CFDA Numbers 93.172 Anticipated Eligible Organizations Public/State Controlled Institution Higher Education Private Institution Higher Education Nonprofit 501(c)(3) IRS Status than Institution Higher Education) Small Business For-Profit Organization than Small Business) State Government Indian/Native American Tribal Government Federally Recognized) County governments Indian/Native American Tribally Designated Organization Native American tribal organizations than Federally recognized tribal governments) U.S. Territory Possession Indian/Native American Tribal Government than Federally Recognized) Non-domestic non-U.S.) Entity Foreign Organization) Regional Organization Eligible Agencies the Federal Government Applications not being solicited this time.  Inquiries Please direct inquiries to: Lucia A. Hindorff, PhD, MPHNational Human Genome Research Institute NHGRI)240-271-1509hindorffl@mail.nih.gov nbsp;
NOTICE OF INFORMATION: NIGMS Priorities for Sepsis Research NOT-GM-19-054 NIGMS Jul 29 2019 N/A NOTICE INFORMATION: NIGMS Priorities Sepsis Research Notice Number: NOT-GM-19-054 Key Dates Release Date: July 29, 2019 Related Announcements NOT-GM-19-057 Issued National Institute General Medical Sciences NIGMS) Purpose purpose this notice to inform potential applicants the National Institute General Medical Sciences NIGMS) areas sepsis research are special interest the Institute. NIGMS interested receiving applications will provide new knowledge the mechanistic complexity sepsis humans that test strategies translating knowledge improved diagnostics therapies sepsis patients. Background Despite decades intensive study, sepsis remains poorly understood condition limited diagnostic tools few specific treatments. working group the National Advisory General Medical Sciences Council NAGMSC) convened advise NIGMS how optimize research grant support preclinical clinical sepsis studies most effectively provide fundamental knowledge human sepsis to enable translation this knowledge improved diagnostic tools therapies. Based the recommendations of NAGMSC Sepsis Working Group consistent its mission, NIGMS intends continue support fundamental discovery science basic clinical) relevant understanding mechanisms underlie heterogeneity is associated the pathogenesis resolution sepsis humans. NIGMS explore possibility providing support will enable access biospecimens data septic patients research purposes. NIGMS also coordinate other NIH institutes government agencies enable efficient clinical testing new diagnostics treatments sepsis. Research Objectives NIGMS seeks support sepsis research uses new emerging approaches, such clinical informatics, computational analyses, predictive modeling patients, new applications high-resolution high-throughput bioanalytical techniques materials obtained septic patients. Observational studies septic patients are designed provide new knowledge the biological mechanisms are associated the clinical heterogeneity disease resolution processes strongly encouraged. NIGMS also an interest studies explore use research organisms have traditionally employed models understanding sepsis. Development novel tools technologies sepsis research, detection, treatment encouraged. Specific topics research interest include, are limited the following: Understanding pathophysiology, treatment responses, clinical trajectories, initial resolution, long-term outcomes sepsis patients various levels biological organization molecule, cell, tissue, organism, etc.) Identifying, classifying, stratifying sepsis patients rapidly accurately various care settings Mechanistic studies using patients, patient-derived materials, clinical data sets will enable future development diagnostic treatment modalities of clinical data such that electronic health records develop predictive diagnostic algorithms to provide understanding patient heterogeneity treatment responses Multidisciplinary team approaches focused development new strategies sepsis detection diagnosis, patient stratification, treatment Analytical approaches combine different types data such molecular clinical functionally define sepsis subgroups endotypes Identification, characterization, validation sepsis-specific biomarkers particularly the context enabling endotyping strategies future evaluation diagnostics novel therapies Studies explore genetic determinants, biological variables sex, age, underlying health conditions), other relevant population characteristics race, ethnicity, socioeconomic status) associated differences sepsis endotypes, treatment responses, clinical trajectories, resolution, and/or long-term outcomes Application cutting-edge data science approaches such artificial intelligence machine learning fundamental clinical sepsis research questions Integration discovery approaches such genomics, proteomics, lipidomics, metabolomics, etc. elucidate molecular basis the pathophysiology resolution sepsis to molecularly define sepsis subgroups humans Mechanistic research employing non-traditional models discern pathways contribute the complex disparate responses are associated the pathophysiology resolution sepsis humans Basic clinical studies examine non-immunological contributions sepsis Development new assays technologies will enable efficient of sepsis biospecimens researchers clinicians Application new research methods models such as in silico approaches, cell culture, organoids early-stage testing validation potential sepsis diagnostics therapeutics Early stage research development projects through NIH SBIR/STTR program create commercializable tools technologies sepsis research, detection, therapy NIGMS considers following areas be low priority: Studies using rodent models sepsis unless uniquely well-justified terms potential providing novel insights human sepsis Clinical trials: general, NIGMS only consider support clinical trials are designed test strong mechanistic hypotheses include appropriate patient stratification. NIGMS expects scientific foundation all clinical trial applications be based data rigorously designed controlled human studies have published peer-reviewed literature. NIGMS unlikely support large-scale clinical trials unless NIH institutes/centers federal agencies provide joint support optimize trial efficiency, recruitment, oversight. Application Submission Information Applications response this Notice be submitted through any active NIGMS Funding Opportunity Announcement. All instructions the selected Funding Opportunity Announcement must followed. Investigators planning submit application strongly encouraged discuss proposed research the scientific contact listed below well advance the application due date. Inquiries Please direct inquiries to: Sarah E. Dunsmore, Ph.D.National Institute General Medical Sciences NIGMS)Email: dunsmores@nigms.nih.gov data science, computational, informatics, artificial intelligence, machine learning
Notice of Extension of the Response Date for NOT-LM-17-006 " Request for Information (RFI): Next-Generation Data Science Challenges in Health and NOT-LM-18-001 NLM Nov 09 2017 N/A Notice Extension the Response Date NOT-LM-17-006 " Request Information RFI): Next-Generation Data Science Challenges Health Biomedicine" Notice Number: NOT-LM-18-001 Key Dates Release Date: November 9, 2017   Related Announcements NOT-LM-17-006 Issued National Library Medicine NLM) Purpose Notice extends response date NOT-LM-17-006 quot;Request Information RFI): Next-Generation Data Science Challenges Health Biomedicine". following sections NOT-LM-17-006 been updated. Key Dates Current Response Date: nbsp;November 1, 2017 New Response Date: November 20, 2017 to Submit Response Current language: Responses this RFI must submitted https://www.research.net/r/NLMDataSci November 1, 2017. Revised language: Responses this RFI must submitted https://www.research.net/r/NLMDataSci November 20, 2017. other aspects the RFI remain same. Inquiries Please direct inquiries to: Valerie Florance, PhD National Library Medicine NLM) Telephone: 301-496-4621 Email: NLMEPInfo@mail.nih.gov data science
Notice of Expiration of NIH/BD2K Participation in the Joint NSF/NIH Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) [NOT-EB-16-00 NOT-RM-17-012 Roadmap May 12 2017 N/A Notice Expiration NOT-EB-16-008 NIH/BD2K Participation the Joint NSF/NIH Initiative Quantitative Approaches Biomedical Big Data QuBBD)" Notice Number: NOT-RM-17-012 Key Dates Release Date: 12, 2017    Related Announcements NOT-EB-16-008 Issued Office Strategic Coordination Common Fund) Purpose Notice informs potential applicants the cancellation the participation the NIH BD2K program the Joint NSF/NIH Initiative Quantitative Approaches Biomedical Big Data QuBBD) NOT-EB-16-008]. NIH not participate future receipt dates currently listed September 12, 2017 the second Tuesday September, annually thereafter. Additional applications not accepted NIH. amount diversity data generated NIH-funded research programs continues grow rapidly, necessitating safe, scalable storage solutions, new analytic approaches, an adaptable workforce. this unprecedented revolution biological information unfolds NIH looks the future data science, needs ensure researchers the ability make meaningful of increasingly massive biomedical data resource.  will critical NIH identify implement new strategies improve data discoverability, utility, sustainability, including moving large data sets the cloud making adherent FAIR Principles – Findable, Accessible, Interoperable, Reusable.  Success meeting challenge require major infusion resources. Patricia Flatley Brennan, Director the National Library Medicine NLM), her role interim Associate Director Data Science, work all NIH’s 27 Institutes Centers develop strategies improve data discoverability, utility, sustainability the biomedical research community. Previously issued BD2K funding opportunities being canceled that new funding opportunities be issued support implementation the new strategies. Details BD2K program changes been announced the program's current website: https://commonfund.nih.gov/bd2k/index Inquiries Please direct inquiries to: Vinay M. Pai, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-451-4781 Email: BD2K_QuBBD@mail.nih.gov data science, big data
Notice of Expiration for RFA-ES-16-010 "Big Data to Knowledge (BD2K) Community-Based Data and Metadata Standards Efforts (R24)" NOT-RM-17-009 Roadmap Mar 24 2017 N/A Notice Expiration RFA-ES-16-010 Big Data Knowledge BD2K) Community-Based Data Metadata Standards Efforts R24)" Notice Number: NOT-RM-17-009 Key Dates Release Date:   March 24, 2017 Related Announcements RFA-ES-16-010 Issued Office Strategic Coordination Common Fund) Purpose Notice informs potential applicants the cancellation the October 19, 2017 receipt date for RFA-ES-16-010, Big Data Knowledge BD2K) Community-Based Data Metadata Standards Efforts R24). Additional applications not accepted BD2K. amount diversity data generated NIH-funded research programs continues grow rapidly, necessitating safe, scalable storage solutions, new analytic approaches, an adaptable workforce. this unprecedented revolution biological information unfolds NIH looks the future data science, needs ensure researchers the ability make meaningful of increasingly massive biomedical data resource.  will critical NIH identify implement new strategies improve data discoverability, utility, sustainability, including moving large data sets the cloud making adherent FAIR Principles – Findable, Accessible, Interoperable, Reusable.  Success meeting challenge require major infusion resources. Patricia Flatley Brennan, Director the National Library Medicine NLM), her role interim Associate Director Data Science, work all NIH’s 27 Institutes Centers develop strategies improve data discoverability, utility, sustainability the biomedical research community. Previously issued BD2K funding opportunities application due dates August 2017 being canceled that new funding opportunities be issued support implementation the new strategies. Currently reads:  Posted Date August 16, 2016 Open Date Earliest Submission Date) September 19, 2016 Letter Intent Due Date(s) 30 days before application due date. Application Due Date(s) November 9, 2016; October 19, 2017, 5:00 PM local time applicant organization. types non-AIDS applications allowed this funding opportunity announcement due these dates. Applicants encouraged apply early allow adequate time make any corrections errors found the application during submission process the due date. AIDS Application Due Date(s) Applicable Scientific Merit Review February 2017; February 2018 Advisory Council Review 2017; 2018 Earliest Start Date July 1, 2017; July 1, 2018 Expiration Date October 20, 2017 Due Dates E.O. 12372 Applicable Modified read: Posted Date August 16, 2016 Open Date Earliest Submission Date) September 19, 2016 Letter Intent Due Date(s) 30 days before application due date. Application Due Date(s) November 9, 2016; 5:00 PM local time applicant organization. types non-AIDS applications allowed this funding opportunity announcement due these dates. Applicants encouraged apply early allow adequate time make any corrections errors found the application during submission process the due date. AIDS Application Due Date(s) Applicable Scientific Merit Review February 2017 Advisory Council Review 2017 Earliest Start Date July 1, 2017 Expiration Date November 10, 2016 Due Dates E.O. 12372 Applicable Details program changes been announced the program's current website: https://commonfund.nih.gov/bd2k/index Inquiries Please direct inquiries to: Cindy Lawler National Institute Environmental Health Sciences NIEHS) Telephone: 919.316.4671 Email: lawler@niehs.nih.gov data science, big data

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