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 06 2019 1:51 am
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
Notice of Clarification of AIDS Receipt Dates for PAR-18-844-Investigator Initiated Research in Computational Genomics and Data Science (R01 Clinical NOT-HG-18-012 NHGRI Jul 23 2018 N/A Notice Clarification AIDS Receipt Dates PAR-18-844-Investigator Initiated Research Computational Genomics Data Science R01 Clinical Trial Allowed) Notice Number: NOT-HG-18-012 Key Dates Release Date: July 23, 2018 Related Announcements PAR-18-844 Issued National Human Genome Research Institute NHGRI) Purpose purpose this Notice to correct AIDS receipt dates PAR-18-844 Investigator Initiated Research Computational Genomics Data Science R01 Clinical Trial Allowed). Part 1. Overview Information Key Dates) language currently reads: AIDS Application Due Date(s) January 7, 2018; September 7, 2019; January 7, 2019; September 7, 2020; January 7, 2020; September 7, 2021, 5:00 PM local time applicant organization. types AIDS AIDS-related 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. language should modified read: AIDS Application Due Date(s) January 7, 2019; September 7, 2019; January 7, 2020; September 7, 2020; January 7, 2021; September 7, 2021, 5:00 PM local time applicant organization. types AIDS AIDS-related 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. other aspects this FOA remain same. Inquiries Please direct inquiries to: Daniel Gilchrist, Ph.D. National Human Genome Research Institute NHGRI) Telephone: 301-496-7531 Email: daniel.gilchrist@nih.gov data science, computational
Notice of Clarification for RFA-HG-14-008 "Courses for Skills Development in Biomedical Big Data Science (R25)" NOT-HG-15-017 NHGRI Jan 29 2015 N/A Notice Clarification RFA-HG-14-008 Courses Skills Development Biomedical Big Data Science R25)" Notice Number: NOT-HG-15-017 Key Dates Release Date: January 29, 2015 Related Announcements RFA-HG-14-008 Issued National Human Genome Research Institute NHGRI) Purpose Notice modifies Courses Skills Development section, described in Part 2. Full Text Announcement, Section I. Funding Opportunity Description RFA-HG-14-008. Specifically clarifies breadth disciplines. Part 2. Full Text Announcement Section I. Funding Opportunity Description second paragraph under Courses Skills Development currently reads: Courses must highly relevant and biomedical Big Data but, general, focus specific areas necessary the utilization Big Data, including computational statistical sciences, a biomedical context. Since solutions Big Data problems likely involve interdisciplinary teams, courses should encourage interaction team work among scientists expertise different areas. Course organizers encouraged partner across departments, institutions, sectors necessary best achieve objectives.  paragraph modified read: Courses must highly relevant and biomedical Big Data but, general, focus specific areas necessary the utilization Big Data, including computational statistical sciences, a biomedical context. Since solutions Big Data problems likely involve interdisciplinary teams, courses should encourage interaction team work among scientists expertise different areas. Such disciplines beyond biomedical sciences include, are limited to, statistics, mathematics, computer science, engineering, design-related fields including data visualization, interactive digital media, human-computer interaction. Course organizers encouraged partner across departments, institutions, sectors necessary best achieve objectives. other aspects this FOA remain unchanged. Inquiries Please direct inquiries to: Richard Baird, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-496-7671? Email: bd2k_training@mail.nih.gov data science, big data, computational, statistics
Notice of Clarification for RFA-DA-20-009 "Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance NOT-DA-19-075 NIDA Sep 16 2019 N/A Notice Clarification RFA-DA-20-009 Leveraging Big Data Science Elucidate Mechanisms HIV Activity Interaction Substance Disorder R21 - Clinical Trials Allowed") Notice Number: NOT-DA-19-075 Key Dates Release Date: September 16, 2019 Related Announcements RFA-DA-20-009 Issued National Institute Drug Abuse NIDA) Purpose purpose this notice to clarify the intent the RFA to analyze existing data, including from human biospecimen data indicated under Specimen Other Resources.' Applications propose wet lab experiments generate new data not responsive. other aspects this RFA remain unchanged. Inquiries Please direct inquiries to: Susan Wright, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-402-6683 Email: susan.wright@nih.gov
Notice of Clarification for RFA-DA-20-008 "Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance NOT-DA-19-074 NIDA Sep 16 2019 N/A Notice Clarification RFA-DA-20-008 Leveraging Big Data Science Elucidate Mechanisms HIV Activity Interaction Substance Disorder R01 - Clinical Trials Allowed" Notice Number: NOT-DA-19-074 Key Dates Release Date: September 16, 2019 Related Announcements RFA-DA-20-008 Issued National Institute Drug Abuse NIDA) Purpose purpose this notice to clarify the intent the RFA to analyze existing data, including from human biospecimen data indicated under Specimen Other Resources.' Applications propose wet lab experiments generate new data not responsive. other aspects this RFA remain unchanged. Inquiries Please direct inquiries to: Susan Wright, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-402-6683 Email: susan.wright@nih.gov
Notice of Clarification for PAR-18-844-Investigator Initiated Research in Computational Genomics and Data Science (R01 Clinical Trial Not Allowed) NOT-HG-18-010 NHGRI Jul 18 2018 N/A Notice Clarification PAR-18-844-Investigator Initiated Research Computational Genomics Data Science R01 Clinical Trial Allowed) Notice Number: NOT-HG-18-010 Key Dates Release Date: July 18, 2018 Related Announcements PAR-18-844 Issued National Human Genome Research Institute NHGRI) Purpose purpose this Notice to clarify Key Dates AIDS applications, Funding Opportunity Description Part 2. Section I), allowable budget Part 2. Section II), the Resource Sharing Plan Part 2. Section IV) PAR-18-844 Investigator Initiated Research Computational Genomics Data Science R01 Clinical Trial Allowed). Part 1. Overview Information Key Dates) language currently reads: AIDS Application Due Date(s) January 7, 2018; September 7, 2019; January 7, 2019; September 7, 2020; January 7, 2020; September 7, 2021, 5:00 PM local time applicant organization. types AIDS AIDS-related 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. language should modified read: AIDS Application Due Date(s) January 7, 2019; September 7, 2019; January 7, 2020; September 7, 2020; January 7, 2021; September 7, 2021, 5:00 PM local time applicant organization. types AIDS AIDS-related 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. Part 2. Section 1: Funding Opportunity Description current language reads: Objectives Through FOA, NHGRI seeks fund innovative research efforts computational genomics, data science, statistics, bioinformatics basic clinical genomic sciences, broadly applicable human health disease, well research leading improvement existing software approaches demonstrated be broad by genomics community. Research topics appropriate this FOA include, are limited to, development novel computational, bioinformatics, statistical, analytical approaches, tools, software for: Interactive analysis visualization large genomic data sets. Identification prioritization disease-causal genetic variants. Causal statistical modeling related genomic research. Analysis single-cell sub-cellular genomic data both situ in dissociated cells. Integrating model organism data information human data. Integrating interpreting various genomic data types, including sequence data, functional data, phenotypic data, clinical data. Processing integrating genome sequence data enhance representation population variation. Processing sequence data sequence assembly, variant detection SNPs SVs), imputation, resolution haplotypes. Development efficient scalable algorithms compute-intensive genomic applications. Achieving major cost reductions genomic data processing analysis. Enabling scalable cost-effective curation FAIR metadata genomic phenotypic data. Enhancing secure sharing use genomic data combination clinical data. Processing analyzing new genomic data types, major improvement processing analyzing existing genomic data types. Rigorous benchmarking tools, methods, algorithms genomics. Hardening existing widely-used genomic data processing pipeline enable reproducible implementation the biomedical research community. FOA does support: Development, maintenance, curation genomic databases other genomic data resources. Applicants considering developing such resources directed the Genomic Community Resources U24) program: https://grants.nih.gov/grants/guide/pa-files/PAR-17-273.html. Research relevant only or few diseases biological systems. Research utilizing small number disease models biological systems proof-of-concept studies be acceptable the resulting methods, tools, approaches, software generalizable. Development application ontologies controlled vocabularies, manual curation efforts. Basic data science research is developed genomics. Significant experimental work. Applicants propose limited experimental work test predictions generated a result computational approaches and/or inform modeling efforts, this should be major focus the application. Approaches clearly pertaining computational genomics data science and/or lacking relevance human health disease. applicants strongly encouraged contact NHGRI Program Staff discuss alignment their proposed work the goals this FOA prior submitting application. modified language should read: Objectives Through FOA, NHGRI seeks fund innovative research efforts computational genomics, data science, statistics, bioinformatics basic clinical genomic sciences, broadly applicable human health disease, well research leading improvement existing software approaches demonstrated be broad by genomics community. Research topics appropriate this FOA include, are limited to, development novel computational, bioinformatics, statistical, analytical approaches, tools, software for: Interactive analysis visualization large genomic data sets. Identification prioritization disease-causal genetic variants. Causal statistical modeling related genomic research. Analysis single-cell sub-cellular genomic data both situ in dissociated cells. Integrating model organism data human data derive biomedical insight. Integrating interpreting various genomic data types, including sequence data, functional data, phenotypic data, clinical data. Processing integrating genome sequence data enhance representation population variation. Processing sequence data sequence assembly, variant detection SNPs SVs), imputation, resolution haplotypes. Development efficient scalable algorithms compute-intensive genomic applications, otherwise achieving major cost reductions genomic data processing analysis. Enabling scalable cost-effective curation FAIR metadata genomic phenotypic data. Enhancing secure sharing use genomic data combination clinical data. Processing analyzing new genomic data types, major improvement processing analyzing existing genomic data types. Rigorous benchmarking tools, methods, algorithms genomics. Hardening existing widely-used genomic data processing pipeline enable reproducible implementation the biomedical research community. Improved novel methods integrating prior biological knowledge machine learning models. FOA does support: Development, maintenance, curation genomic databases other genomic data resources. Applicants considering developing such resources directed the Genomic Community Resources U24) program: https://grants.nih.gov/grants/guide/pa-files/PAR-17-273.html. Research generalizable beyond or small number diseases biological systems. Research utilizing small number disease models biological systems proof-of-concept studies be acceptable the resulting methods, tools, approaches, software generalizable. Development application ontologies controlled vocabularies, manual curation efforts. Basic data science research is developed genomics. Significant experimental work. Applicants propose limited experimental work test predictions generated a result computational approaches and/or inform modeling efforts, this should be major focus the application. Approaches clearly pertaining computational genomics data science and/or lacking relevance human health disease. addition this PAR, NHGRI participates several funding opportunities nbsp;https://www.genome.gov/10000991/nhgri-funding-opportunities-research/, including parent R01 R21 announcements. applicants strongly encouraged contact NHGRI Program Staff discuss alignment their proposed work the goals this FOA prior submitting application. Section II. Award Information current language reads: Award Budget Application budgets not limited need reflect actual needs the proposed project. modified language should read: Award Budget Application budgets limited 500,000 direct costs per year. Section IV. 2. Resource Sharing Plan current language reads: Resource Sharing Plan: Individuals required comply the instructions the Resource Sharing Plans provided the SF424 R&R) Application Guide, the following modification: major goal this FOA the development computational methods tools are enabling the genomics community. Applicants should therefore include detailed plans open dissemination methods, software, tools the community such they readily usable extensible, where applicable. should made freely available biomedical researchers educators. is prescribed license software produced applications responding this announcement, any software license selected applicants should allow unrestricted redistribution modification software. Methods, tools, software should well-documented where applicable available via version-controlled public repositories. Where applicable, applicants should describe solutions portable implementations. Solutions enhance reproducibility used the community ability the community integrate automated pipelines should emphasized. applications generating data, regardless the amount direct costs requested any year, should provide Data Sharing Plan. Applications should adhere the NIH Genomic Data Sharing Policy, including general NHGRI expectations for implementation this policy. modified language should read: Resource Sharing Plan: Individuals required comply the instructions the Resource Sharing Plans provided the SF424 R&R) Application Guide, the following modification: major goal this FOA the development computational methods tools are enabling the genomics community. Applicants should therefore include detailed plans open dissemination methods, software, tools the community such they readily usable extensible, where applicable. should made freely available biomedical researchers educators. is prescribed license software produced applications responding this announcement, any software license selected applicants should allow unrestricted redistribution modification software. Methods, tools, software should well-documented where applicable available via version-controlled public repositories. Where applicable, applicants should describe solutions portable implementations. Solutions enhance reproducibility used the community ability the community integrate automated pipelines, relevant, should emphasized. applications generating data, regardless the amount direct costs requested any year, should provide Data Sharing Plan. Applications should adhere the NIH Genomic Data Sharing Policy, including general NHGRI expectations for implementation this policy. facilitate sharing ideas methods accelerate advances computational genomics data science, grantees be required participate actively openly one grantee meeting per year. Substantial information sharing be required appropriate consistent achieving goals the PAR is condition the award; failure openly share information be grounds discontinuation funding. Applicants should describe plans participating grantee meetings request funds 1-3 group members travel the meeting year. other aspects this FOA remain same. Inquiries Please direct inquiries to: Daniel Gilchrist, Ph.D. National Human Genome Research Institute NHGRI) Telephone: 301-496-7531 Email: daniel.gilchrist@nih.gov data science, computational, bioinformatics, machine learning, statistics, statistical modeling
Notice Of Change to RFA-ES-16-004 Maintain and Enrich Resource Infrastructure for Existing Environmental Epidemiology Cohorts (R24) NOT-ES-17-007 NIEHS Aug 11 2017 N/A Notice Change RFA-ES-16-004 Maintain Enrich Resource Infrastructure Existing Environmental Epidemiology Cohorts R24)” Notice Number: NOT-ES-17-007 Key Dates Release Date:   August 11, 2017 Related Announcements RFA-ES-16-004 Issued National Institute Environmental Health Sciences NIEHS) Purpose Notice to inform potential applicants changes RFA-ES-16-004, ldquo;Maintain Enrich Resource Infrastructure Existing Environmental Epidemiology Cohorts R24) Part 2. Section I.  Funding Opportunity Description Currently reads: Scope FOA resource grant expected focus activities will enable efficient planning operation cohorts preparation 1) maintain scientific integrity the resource community engagement; 2) prepare future scientific needs direction; 3) promote engagement new disciplines the field; 4) facilitate scientific collaborations across cohorts. are categories encouraged activities under program: 1) maintenance the cohort 2) enrichment resource infrastructure activities support data preparation in cohort, data linkage across collaborations. Examples activities can supported under FOA include, are limited the following: 1) Cohort maintenance activities: Ongoing recruitment retention the target study population; Expansion recruitment enroll special populations enhance breadth the science power the cohort; Maintain community engagement outreach activities; Continuation enhancement sample collection management existing biorepositories environmental sample repositories. includes ongoing quality control, sample curation inventory maintenance, implementation laboratory processes prepare samples future analyses. 2) Enrichment resource infrastructure activities: Data preparation in EEC: Development implementation improved quality control assurance activities across full data sample/specimen lifecycle, initial sample collection laboratory processing, preservation, storage retrieval future use/reuse. Development implementation biospecimen collection, processing preservation methods enhance efficiency, yield, reproducibility stability. Validation exposure or health outcome data.  example, assessing comparability self-reported data versus medical record biomarker information, the assessment how well biomarker measured through non-invasive means compares gold standard other target tissue other standards.  also include opportunity integrate validate emerging exposure response assessment technologies. includes is limited methods improve/enhance exposure classification short-lived chemicals, multiple chemicals nonchemical stressors, cumulative exposures exposure mixtures. example, repeated urinary sampling improve assessment short-lived compounds, testing biological questionnaire assessments enhance measure stress such cortisol teleomere length.  nbsp; Data preparation data linkage across cohort collaborations: nbsp;Development processes, policies infrastructure support broad sharing cohort data biospecimens. includes activities related making data findable, accessible, interoperable reusable such as: Linkage existing data specimens other extant data sources such health records environmental data sources. Development application processes, policies infrastructure support broad sharing cohort data biospecimens; includes activities related making data findable, accessible, interoperable reusable. Development application methods tools support interoperability data generated the parent cohorts other relevant data sets e.g. implementation common data metadata standards evaluation their utility support data integration); Development implementation web based platforms promote wider access/use data samples collaborative analyses be responsive this FOA applications seeking support cohort maintenance must also include enrichment resource infrastructure activities. EEC applications only seek support Enrichment Resource infrastructure activities also considered responsive this FOA. Modified read: Scope the FOA resource grant expected focus two categories activities: 1) maintenance resource infrastructure enrichment existing EECs 2) enrichment EEC data management sharing appropriate consistent achieving goals the program. Examples activities can supported under FOA include, are limited the following:   1) Maintenance resource infrastructure enrichment existing EECs: Cohort maintenance activities: Ongoing recruitment retention the target study population. Expansion recruitment enroll special populations enhance breadth the science power the cohort. Re-consenting participants broad data sharing appropriate consistent achieving goals the program. Continuation enhancement sample collection management existing biorepositories environmental sample repositories. Continuation enhancement community engagement outreach activities. Enrichment resource infrastructure within cohort: nbsp;Development implementation biospecimen collection, processing preservation methods enhance efficiency, yield, reproducibility stability. Validation exposure or health outcome data improve exposure disease classification.  example, assessing comparability self-reported data versus medical record biomarker information, the assessment how well biomarker measured through non-invasive means compares gold standard other target tissue other standards.  also include opportunity integrate validate emerging exposure exposure response technologies. Development testing new methods improve/enhance exposure classification short-lived chemicals, multiple chemicals, nonchemical stressors, cumulative exposures exposure mixtures. example, repeated urinary sampling improve assessment short-lived compounds, testing biological questionnaire assessments enhance measures stress such cortisol teleomere length.  nbsp; 2) Enrichment EEC data management sharing: Development infrastructure support broad sharing data, including activities related making data findable, accessible, interoperable reusable such as: Implementation an improved quality assurance quality control plan across full data lifecycle, including identification handling potentially erroneous missing values. Enabling data discovery integration through development utilization standard, unambiguous terminology. includes creation enhancement data dictionaries ontologies. use descriptive terms existing biomedical ontologies e.g. NCBO BioPortal, https://bioportal.bioontology.org) highly encouraged. Development application methodologies support interoperability EEC data other relevant data sets, including implementation common data metadata standards evaluation their utility support data integration. Formatting depositing individual-level de-identified data an existing repository. Development implementation a searchable web-based platform data sharing integration. Linkage integration multiple data sets different sources such health records environmental data sources. Development implementation techniques data visualization and/or big data analytics. Applicants encouraged bring new expertise areas including data architecture, database administration, information science, data science, data engineering.    be responsive this FOA, applications must include significant activities enrichment EEC data management sharing. Part 2. Section IV. Application Submission Information Currently reads: Research Strategy: Research Strategy must consist the following sections: Cohort Overview Overall description summary the proposed EEC. Summary describing EEC accomplishments related both infrastructure the supported research including clinical public health significance the research using cohort. Include summary the population, enrollment over time, data biological specimen collection, follow-up cohort since past project period. a data sharing plan implemented, include report describing any all data sharing activities. application should describe detail scientific rationale the need continue cohort the value opportunities the broader research agenda this cohort be designed support the immediate, intermediate, long-term time frame. Maintenance Research Infrastructure Plan Cohort Maintenance: application must clearly define catchment area sampling frame what activities necessary achieve goals the resource well justify new study questions, additional recruitment or sample/data enhancement. application must describe research team's plan resource enhancements aimed support validation data, improved exposure characterization, data preparation in cohort data preparation data linkage across cohort collaborations. Leadership the Administrative Core use the multiple PD/PI strongly encouraged. Since application includes strong methods component facilitate broad data sharing linked cohort infrastructure maintenance, type expertise should complement scientific oversight leadership. Please provide summary the types funding sources were used establish maintain EEC date. Resource Sharing Plan: Individuals required comply the instructions the Resource Sharing Plans provided the SF424 R&R) Application Guide, the following modification: applications, regardless the amount direct costs requested any year, must address Data Sharing Plan. plan should include following items: Statement the investigator's commitment share data; Description the data be produced; Standards be used collected data metadata; Mechanisms providing access to/sharing data; Description tools, including software, needed access and/or interpret data; Milestones timelines making data publicly accessible; Provisions reuse redistribution the data. Modified read: Research Strategy: Research Strategy must consist the following sections: Cohort Overview Overall description summary the proposed EEC. Summary describing EEC accomplishments related both infrastructure the supported research including clinical public health significance the research using cohort. Include summary the population, enrollment over time, data biological specimen collection, follow-up cohort since past project period. a data sharing plan implemented, include report describing any all data sharing activities. application should describe detail scientific rationale the need continue cohort the value opportunities the broader research agenda this cohort be designed support the immediate, intermediate, long-term time frame. Action Plan Cohort Maintenance Resource Infrastructure Enrichment Cohort Maintenance: application must clearly define catchment area sampling frame what activities necessary achieve goals the resource well justify new study questions, additional recruitment or sample/data enhancement. Resource Infrastructure: application must describe research team's plan resource infrastructure enhancements aimed support validation data, improved exposure characterization, data preparation in cohort data preparation data linkage across cohort collaborations. Action Plan Enrichment EEC Data Management Sharing application should describe the proposed enhancements facilitate broader sharing data the scientific community. application must clearly describe methods used make data findable, accessible, interoperable, reusable. appropriate, describe efforts harmonization alignment existing meta)data standards.   Description milestones timelines making data publicly available. Leadership the Administrative Core Leadership: use the multiple PD/PI strongly encouraged. Since application includes strong data infrastructure component, appropriate expertise should included complement scientific oversight leadership. Administrative Core: Describe administrative model the proposed activities, including responsibilities communication, decision making, oversight. Please provide summary the types funding sources were used establish maintain EEC date. Resource Sharing Plan: Individuals required comply the instructions the Resource Sharing Plans provided the SF424 R&R) Application Guide, the following modification: applications, regardless the amount direct costs requested any year, must address Data Sharing Plan. plan should include following items: Statement the investigator's commitment share data. Description the type amount digital data be managed over life the proposed project. Description the data be shared the rationale selecting those data sharing i.e. raw vs processed data, aggregate vs individual level data). Description data standards, including formats, data identifiers, metadata other data documentation be used collected data rationale their selection. Description mechanisms providing access or sharing data. of publicly accessible data repositories encouraged. Description tools, including software, needed access and/or interpret data. Delineation who be responsible data management, both during data collection analysis after completion the project, applicable. Provisions reuse redistribution the data. Description timelines metrics data sharing. other aspects the FOA remain same. Inquiries Please direct inquiries to: Kimberly Ann Gray, PhD National Institutes Environmental Health Sciences NIEHS) Telephone: 919-541-0293 Email: kimberly.gray@nih.gov data science, big data, data integration, common data, data standards
Notice of Change in Next Submission Due Date to RFA-HG-14-008 "Courses for Skills Development in Biomedical Big Data Science (R25)" NOT-HG-15-024 NHGRI Apr 03 2015 N/A Notice Change Next Submission Due Date RFA-HG-14-008 Courses Skills Development Biomedical Big Data Science R25)  Notice Number: NOT-HG-15-024 Key Dates Release Date:   April 3, 2015  Related Announcements RFA-HG-14-008     Issued National Human Genome Research Institute NHGRI) Purpose purpose this Notice to announce change the next submission due date RFA-HG-14-008. April 1, 2016 submission due date cancelled. next due date be September 18, 2015. Part 1. Key Dates Current Key Dates: Posted Date January 16, 2014 Open Date Earliest Submission Date) March 1, 2014 Letter Intent Due Date(s) 30 days before application due date Application Due Date(s) April 1, 2014; April 1, 2015; April 1, 2016, 5:00 PM local time applicant organization. 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 July 2014; July 2015; July 2016 Advisory Council Review October 2014, October 2015, October 2016 Earliest Start Date December 2014, December 2015, December 2016 Expiration Date April 2, 2016 Due Dates E.O. 12372 Applicable New Key Dates: Posted Date January 16, 2014 Open Date Earliest Submission Date) March 1, 2014 Letter Intent Due Date(s) 30 days before application due date Application Due Date(s) April 1, 2014; April 1, 2015; September 18, 2015, 5:00 PM local time applicant organization 5:00 PM local time applicant organization. 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 July 2014; July 2015; February 2016 Advisory Council Review October 2014; October 2015; 2016 Earliest Start Date December 2014; December 2015; July 2016 Expiration Date September 19, 2015 Due Dates E.O. 12372 Applicable other aspects this FOA remain same. Inquiries Please direct inquiries to: Richard Baird, Ph.D. National Institute Biomedical Imaging Bioengineering NIBIB) Telephone: 301-496-7671 Email: bd2k_training@mail.nih.gov data science, big data
Notice of Change in Application Due Date for RFA-ES-15-004 "NIH Big Data to Knowledge (BD2K) Biomedical Data Science Training Coordination Cente NOT-ES-15-015 NIEHS Mar 09 2015 N/A Notice Change Application Due Date RFA-ES-15-004 NIH Big Data Knowledge BD2K) Biomedical Data Science Training Coordination Center U24)" Notice Number: NOT-ES-15-015 Key Dates Release Date: March 9, 2015 Related Announcements RFA-ES-15-004 Issued National Institute Environmental Health Sciences NIEHS) Purpose purpose this Notice to change application due date RFA-ES-15-004 ldquo;NIH Big Data Knowledge BD2K) Biomedical Data Science Training Coordination Center U24)." previous receipt date March 17, 2015 been changed April 1, 2015. other aspects this FOA remain unchanged. Inquiries Please direct inquiries to: Carol Shreffler, PhD National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-1445 Email: bd2k_training@mail.nih.gov nbsp; data science, big data
Notice of Availability of Administrative Supplements for Short-term Research Career Enhancement in Genomics for Experienced Investigators NOT-HG-19-019 NHGRI Mar 28 2019 N/A Notice Availability Administrative Supplements Short-term Research Career Enhancement Genomics Experienced Investigators Notice Number: NOT-HG-19-019 Key Dates Release Date: March 28, 2019 Related Announcements None Issued National Human Genome Research Institute NHGRI) Purpose Notice encourages eligible National Human Genome Research Institute NHGRI) awardees apply administrative supplements provide short-term research career enhancement genomics experienced investigators. field genomics expanded greatly over past decades it permeates much basic science clinical research. expansion occurred part via advances techniques methods, also the recognition the tools used genomics research be applied other fields. Clinical basic researchers trained than decade ago have limited opportunity acquire experience a wide range modern genomics-related topics hence benefit such exposure later their careers. Similarly, experienced genetics genomic researchers trained before genomics as integral it now benefit broadening scientific background acquiring new research capabilities modern genomics-related topics. program provide 6- 12-month exposure, including didactics hands-on supervised research experience genome science genomic medicine 1) individuals limited no prior experience training these fields, 2) individuals genome sciences genomic medicine gain experience an aspect the field differs substantially their current work. opportunity targeted experienced academic scientists mid- late-career. Operationally, is defined at least 10 years beyond doctoral degree, although may longer those clinical doctoral degrees. will allow scientist trained a field outside genomics, such clinical medicine mathematics, gain supervised experience a genomics-related field, an experienced scientist obtain new knowledge skills a supervised setting an area genomics new them, such genomic data science, technology development, genomic medicine, genomics society. proposed activities must within scope the parent award may for to year. awards support individual the same another Institution obtain experience an Institution directly supported the NHGRI grant. Individuals must commit minimum 50% effort the experience. is citizenship requirement applicants. Requests should include information the goals the experience, the goals within scope the parent award, the experience differs their previous training, how plan use experience going forward their research. Requests limited 3 pages, must submitted electronically response to PA-18-591. Budgetary considerations: Applicants request salary support commensurate the institution’s salary structure. total salary not exceed legislatively mandated salary cap. See: https://grants.nih.gov/grants/policy/salcap_summary.htm. Research support to 40,000 direct costs conference travel also requested. Applicants strongly encouraged consult the Program Official the parent grant the contact listed below before submitting application confirm eligibility to obtain technical assistance. Supplement requests under Notice submitted to PA-18-591)will undergo administrative evaluation NHGRI staff. Application Due Date Window Administrative supplements be considered fiscal year 2019. Applications must submitted June 1, 2019 order ensure processing awards before end the fiscal year September 30, 2019). Inquiries Please direct inquiries to: Tina Gatlin, Ph.D.National Human Genome Research Institute Phone: 301-480-2280 Email:gatlincl@mail.nih.gov data science
Notice of Applicant Information Webinar for The NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) RFA-HG-17-011 NOT-HG-17-016 NHGRI Aug 25 2017 N/A Notice Applicant Information Webinar The NHGRI Genomic Data Science Analysis, Visualization, Informatics Lab-space AnVIL) RFA-HG-17-011 Notice Number: NOT-HG-17-016 Key Dates Release Date:   August 25, 2017 Related Announcements RFA-HG-17-011 Issued National Human Genome Research Institute NHGRI) Purpose notice to inform potential applicants RFA-HG-17-011 a pre-application webinar.  intent the webinar to provide overview The NHGRI Genomic Data Science AnVIL funding opportunity, to address questions potential applicants relevant preparing application.  webinar optional attendance not required application submission), may conclude before scheduled time. Webinar Information: Date: September 7, 2017 Time: 2:00-3:00 PM EDT the time the webinar click this link https://nih.webex.com/nih/j.php?MTID=m07b0e8b4f0bcd192793bf46f6a82d5bc prompted, enter password: anvil calling phone US/Canada number 1-650-479-3208 access code: 298 526 013 list global call numbers be found this link https://nih.webex.com/cmp3100/webcomponents/widget/globalcallin/globalca... Information the webinar also found The NHGRI Genomic Data Science AnVIL website at  https://www.genome.gov/27569268.  Following webinar, NHGRI staff post slides the webinar The NHGRI Genomic Data Science AnVIL website.  Inquiries Please direct inquiries to: AnVIL Team National Human Genome Research Institute Email: anvil@mail.nih.gov data science, informatics

Pages

XLS