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: September 09 2019 5:10 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
Notice of Expiration for RFA-HG-16-016 "BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25)" NOT-RM-17-008 Roadmap Mar 24 2017 N/A Notice Expiration RFA-HG-16-016 BD2K Open Educational Resources Skills Development Biomedical Big Data Science R25)" Notice Number: NOT-RM-17-008 Key Dates Release Date:   March 24, 2017 Related Announcements RFA-HG-16-016 Issued Office Strategic Coordination Common Fund) Purpose Notice informs potential applicants the cancellation the August 2, 2017 receipt date for RFA-HG-16-016, BD2K Open Educational Resources Skills Development Biomedical Big Data Science R25). Additional applications this FOA not accepted BD2K FY 2017. 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. Currently reads:  Posted Date 18, 2016 Open Date Earliest Submission Date) July 2, 2016 Letter Intent Due Date(s) 30 days prior application due date   Application Due Date(s) August 2, 2016; August 2, 2017, 5:00 PM local time applicant organization. types 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 November 2016, November 2017 Advisory Council Review January 2017, January 2018 Earliest Start Date April 2017, April 2018 Expiration Date August 3, 2017 Due Dates E.O. 12372 Applicable Modified read: Posted Date 18, 2016 Open Date Earliest Submission Date) July 2, 2016 Letter Intent Due Date(s) 30 days prior application due date   Application Due Date(s) August 2, 2016; 5:00 PM local time applicant organization. types 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 November 2016 Advisory Council Review January 2017 Earliest Start Date April 2017 Expiration Date August 3, 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: Erica Rosemond, Ph.D. National Center Advancing Translational Sciences NCATS) Telephone: 301-594-8927 Email: bd2k_training@mail.nih.gov 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 Correction to Delete an Incorrect Application Due Date in RFA-HG-004 "Predoctoral Training in Biomedical Big Data Science (T32)" NOT-HG-15-011 NHGRI Dec 15 2014 N/A Notice Correction Delete Incorrect Application Due Date RFA-HG-004 Predoctoral Training Biomedical Big Data Science T32)" Notice Number: NOT-HG-15-011 Key Dates Release Date: December 16, 2014 Related Announcements NOT-HG-15-008; RFA-HG-14-004 Issued National Human Genome Research Institute NHGRI) Purpose Notice to inform scientific community a due date RFA-HG-14-004 Predoctoral Training Biomedical Big Data Science T32) was erroneously listed NOT-HG-15-008 been deleted. Below the Key Dates listed NOT-HG-15-008: Posted Date April 22, 2014 Open Date Earliest Submission Date) June 28, 2014 Letter Intent Due Date(s) 30 days before application due date Application Due Date(s) July 28, 2014; March 1, 2015; July 27, 2015; July 28, 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 October 2014; June 2015; October 2015; October 2016 Advisory Council Review January 2015; August 2015; January 2016; January 2017 Earliest Start Date March 2015; September 2015; March 2016; March 2017 Expiration Date July 29, 2016 Due Dates E.O. 12372 Applicable corrected Key Dates below retain March 1, 2015, due date added NOT-HG-15-008: Posted Date April 22, 2014 Open Date Earliest Submission Date) June 28, 2014 Letter Intent Due Date(s) 30 days before application due date Application Due Date(s) July 28, 2014; March 1, 2015; July 27, 2015 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 October 2014; June 2015; October 2015;  Advisory Council Review January 2015; August 2015; January 2016;  Earliest Start Date March 2015; September 2015; March 2016; Expiration Date July 28, 2015 Due Dates E.O. 12372 Applicable other aspects this FOA remain same. Inquiries Please direct inquiries to: Erica Rosemond, Ph.D. National Institute Mental Health NIMH) Telephone: 301-443-3107 Email: bd2k_training@mail.nih.gov data science, big data
Notice of Correction to Application Due Date and Eligible Organizations for RFA-MD-15-005 "NIH Big Data to Knowledge (BD2K) Enhancing Diversity i NOT-MD-15-004 NIMHD Jan 29 2015 N/A Notice Correction Application Due Date Eligible Organizations RFA-MD-15-005 NIH Big Data Knowledge BD2K) Enhancing Diversity Biomedical Data Science R25)" Notice Number: NOT-MD-15-004 Key Dates Release Date: January 29, 2015 Related Announcements RFA-MD-15-005 Issued National Institute Minority Health Health Disparities NIMHD) Purpose purpose this Notice to change application due date correct eligibility information the RFA-MD-15-005 quot;NIH Big Data Knowledge BD2K) Enhancing Diversity Biomedical Data Science R25)."  Part I. Key Dates Current Key Dates Posted Date January 13, 2015 Open Date Earliest Submission Date) February 19, 2015 Letter Intent Due Date(s) February 19, 2015 Application Due Date(s) March 19, 2015 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 2015 Advisory Council Review August 2015 Earliest Start Date September 2015 Expiration Date March 20, 2015 Due Dates E.O. 12372 Applicable New Key Dates Posted Date January 13, 2015 Open Date Earliest Submission Date) March 7, 2015 Letter Intent Due Date(s) March 7, 2015 Application Due Date(s) April 7, 2015 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 2015 Advisory Council Review August 2015 Earliest Start Date September 2015 Expiration Date April 8, 2015 Due Dates E.O. 12372 Applicable nbsp; Part 2. Section III.1. Eligible Institutions Eligible Organizations Current Language: addition, organizations must meet following criteria: applicant institutions limited domestic baccalaureate-granting colleges/universities receive less 7.5 million total costs) NIH research project grant RPG) funding annually. applicant institution must an award-eligible pool undergraduate students, least 25% whom supported Pell grants. eligibility requirements intended target funds relatively under-resourced institutions a demonstrated commitment students financially disadvantaged backgrounds. requirements based the recognition 1) students low-income backgrounds also nationally underrepresented biomedical research, 2) institutional commitment these students often comes the expense investments research infrastructure. the purposes determining eligibility an applicant institution, annual level NIH RPG funding received be average level calculated over preceding three fiscal years FY 2012, FY 2013 FY 2014), reported the NIH RePORT website under NIH Awards Location amp; Organization http://projectreporter.nih.gov/reporter.cfm). percentage undergraduates Pell grants be based 2013 student financial aid data the applicant institution, reflected the National Center Education Statistics IPEDS Data Center website, IPEDS Data Center. Modified Language: addition, organizations must meet following criteria: applicant institutions limited domestic baccalaureate-granting colleges/universities receive less 7.5 million total costs) NIH research project grant RPG) funding annually below details). applicant institution must an award-eligible pool undergraduate students, least 25% whom supported Pell grants. eligibility requirements intended target funds relatively under-resourced institutions a demonstrated commitment students financially disadvantaged backgrounds. requirements based the recognition 1) students low-income backgrounds also nationally underrepresented biomedical research, 2) institutional commitment these students often comes the expense investments research infrastructure. the purposes determining eligibility an applicant institution, annual level NIH RPG funding received be average level calculated over preceding three fiscal years FY 2012, FY 2013 FY 2014), excluding SBIR/STTR funding RPGs received through American Recovery Reinvestment Act ARRA) reported the NIH RePORT website under NIH Awards Location amp; Organization http://projectreporter.nih.gov/reporter.cfm). percentage undergraduates Pell grants be based 2013 student financial aid data the applicant institution, reflected the National Center Education Statistics IPEDS Data Center website, http://nces.ed.gov/ipeds/datacenter/Default.aspx. other aspects this FOA remain same. Inquiries Please direct inquiries to: Pamela L. Thornton, PhD, MSW National Institutes Minority Health Health Disparities NIMHD) Telephone: 301-402-1366 Email: pamela.thornton@nih.gov nbsp; data science, big data, statistics
Notice of Correction to Advisory Council Review Dates for PAR-17-159 "Data Science Research: Personal Health Libraries for Consumers and Patients NOT-LM-17-005 NLM Apr 27 2017 N/A Notice Correction Advisory Council Review Dates PAR-17-159 Data Science Research: Personal Health Libraries Consumers Patients R01)" Notice Number: NOT-LM-17-005 Key Dates Release Date:   April 27, 2017 Related Announcements PAR-17-159 Issued National Library Medicine NLM) Purpose Notice amends Advisory Council Review dates applications submitted response PAR-17-159 quot;Data Science Research: Personal Health Libraries Consumers Patients R01)". FOA currently reads: Part 1. Overview Information Key Dates Advisory Council Review August 2017; August 2018 FOA modified read: Part 1. Overview Information Key Dates Advisory Council Review October 2017; October 2018 other aspects the FOA remain unchanged. Inquiries Please direct inquiries to: Hua-Chuan Sim, MD National Library Medicine NLM) Telephone: 301-594-4882 Email: simh@mail.nih.gov data science
Notice of Correction RFA-DA-20-008, "Leveraging Big Data Science to Elucidate the Mechanisms of HIV Activity and Interaction with Substance Use D NOT-DA-19-058 NIDA Jul 05 2019 N/A Notice Correction RFA-DA-20-008, Leveraging Big Data Science Elucidate Mechanisms HIV Activity Interaction Substance Disorder R01 - Clinical Trials Allowed)" Notice Number: NOT-DA-19-058 Key Dates Release Date: July 05, 2019 Related Announcements RFA-DA-20-008 Issued National Institute Drug Abuse NIDA) Purpose purpose this notice to update AIDS Application Due Date language RFA-DA-20-008, Leveraging Big Data Science Elucidate Mechanisms HIV Activity Interaction Substance Disorder R01 - Clinical Trials Allowed). Current language Key Dates AIDS Application Due Date(s) November 14, 2019, 5:00 PM local time applicant organization. All types non-AIDS applications allowed this funding opportunity announcement due this date. late applications be accepted this Funding Opportunity Announcement. Applicants encouraged apply early allow adequate time make any corrections errors found the application during submission process the due date. New language Key Dates AIDS Application Due Date(s) November 14, 2019, 5:00 PM local time applicant organization. All types non-AIDS applications allowed this funding opportunity announcement due this date. 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 unchanged. Inquiries Please direct inquiries to: Susan Wright, Ph.D. National Institute Drug Abuse NIDA) Telephone: 301-402-6683 Email: susan.wright@nih.gov data science, big data
Notice of Clarification to PAR-18-843: Investigator Initiated Research in Computational Genomics and Data Science (R21 Clinical Trial Not Allowed) NOT-HG-18-011 NHGRI Jul 17 2018 N/A Notice Clarification PAR-18-843: Investigator Initiated Research Computational Genomics Data Science R21 Clinical Trial Allowed) Notice Number: NOT-HG-18-011 Key Dates Release Date: July 17, 2018 Related Announcements PAR-18-843 Issued National Human Genome Research Institute NHGRI) Purpose purpose this Notice to clarify Objectives Part 2. Section I) Resource Sharing Plan Part 2. Section III) PAR-18-843 Investigator Initiated Research Computational Genomics Data Science R21 Clinical Trial Allowed). Part 2. Section I. Funding Opportunity Description Currently 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. nbsp; 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. nbsp; Modified 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. Applications R21 awards should describe projects distinct those supported through traditional R01 activity code. The R21 grant mechanism intended encourage exploratory/developmental research providing support the early conceptual stages project development. 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. Improved novel methods integrating prior biological knowledge machine learning models. nbsp; 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. Part 2. Section III Currently 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. nbsp; Modified 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 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. 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 Clarification of Salary Support for RFA-HG-14-007 "Mentored Career Development Award in Biomedical Big Data Science for Clinicians and NOT-HG-14-021 NHGRI Jan 23 2014 N/A Notice Clarification Salary Support RFA-HG-14-007 Mentored Career Development Award Biomedical Big Data Science Clinicians Doctorally Prepared Scientists K01)" Notice Number: NOT-HG-14-021 Key Dates Release Date: January 23, 2014 Related Announcements RFA-HG-14-007 Issued National Human Genome Research Institute NHGRI) Purpose purpose this Notice to clarify salary support RFA-HG-14-007 quot;Mentored Career Development Award Biomedical Big Data Science Clinicians Doctorally Prepared Scientists K01)". Section II. Award Budget Information Salary Current text reads: NIH contribute up per year toward salary the career award recipient. Mentored career awards require candidate devote minimum 9 person-months conducting health-related research. Replacement text should read: NIH contribute up 167,000 per year toward salary the career award recipient. Mentored career awards require candidate devote minimum 9 person-months conducting health-related research. NOTE:  stated the RFA, total salary requested must based a full-time staff appointment. salary must consistent both the established salary structure the institution with salaries actually provided the institution its own funds other staff members equivalent qualifications, rank, responsibilities the department concerned. Frequently Asked Question FAQ) website been developed answer clarify questions regarding RFA.  the need clarifications arises, will posted the following website: http://bd2k.nih.gov/faqs_trainingFOA.html#sthash.FI2HiISm.dpbs. Inquiries Please direct inquiries to: Michelle Dunn, Ph.D. National Cancer Institute NCI) Telephone: 240-276-6881 Email: bd2k_training@mail.nih.gov Carol Shreffler, Ph.D. National Institute Environmental Health Sciences NIEHS) Telephone:  919-541-1445 Email: bd2k_training@mail.nih.gov   Website: http://bd2k.nih.gov   nbsp; data science, big data
Notice of Clarification of Language in PAR 13-300 "NLM Express Research Grants in Biomedical Informatics (R01)" NOT-LM-16-004 NLM May 05 2016 N/A Notice Clarification Language PAR 13-300 NLM Express Research Grants Biomedical Informatics R01)" Notice Number: NOT-LM-16-004 Key Dates Release Date: 5, 2016   Related Announcements PAR-13-300  Issued National Library Medicine NLM)) Purpose purpose this Notice to highlight clarify language the fifth paragraph Part 2, Section of PAR 13-300 concerning projects NLM support. will effective the June 5, 2016, due date later. Part 2. Full Text Announcement Section I. Funding Opportunity Description nbsp; Current Language NLM places high priority innovation the research supports. application NLM's research grant program should focus a well-defined research problem rigorous research design based preliminary studies. Investigators interested demonstrating proof concept advanced topics should consider NIH Exploratory Developmental Research Grant Parent R21) http://www.nlm.nih.gov/ep/GrantExDev.html. NLM does support infrastructure development continued development existing software tools knowledge resources. Modified Language application NLM's research grant program should focus a well-defined research problem propose rigorous research design, based preliminary studies, will result innovations advance is known the field informatics have capacity improve human health. NLM does support infrastructure development continued development existing software tools knowledge resources an endpoint research funded through FOA, though such tools, data sets other compilations knowledge be developed order test ideas methods. Applicants interested building sustaining tools research resources should consider opportunities such PA-14-155 quot;Early Stage Development Technologies Biomedical Computing, Informatics, Big Data Science R01)" PAR-14-156 quot;Extended Development, Hardening Dissemination Technologies Biomedical Computing, Informatics Big Data Science R01)". nbsp; Inquiries Please direct inquiries to: Hua-Chuan Sim, MD National Library Medicine NLM) Telephone: 301-594-4882 Email: simh@mail.nih.gov data science, big data, informatics
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

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