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: August 19 2019 10:09 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
The KUH Predoctoral to Postdoctoral Fellow Transition Award (F99/K00 Clinical Trial Not Allowed)

RFA-DK-18-024

NIDDK

Jan 28 2019

Nov 21 2019

The purpose of the KUH/NIDDK Predoctoral to Postdoctoral Fellow Transition Award (F99/K00) is to recruit exceptional graduate students who are recognized by their institutions for their high potential and to incentivize them to pursue a Kidney, Urologic or Hematologic (K, U, or H) postdoctoral position that ultimately positions them to become independent K, U, or H researchers. This two-phase award will facilitate completion of the doctoral dissertation and stablize the transition of highly talented Ph.D candidates from a variety of fields, including, but not limited to, engineering, statistics, data science, imaging, biochemistry and genetics into strong postdoctoral appointments that are focused on K, U or H research. It is anticipated that successful completion of this phased award will make the individual highly competitive for a subsequent NIDDK award (e.g., K99/R00, R01). Opportunities for career development activities relevant to their long-term career goals of becoming independent researchers will be provided. Graduate students who are already involved in K, U, or H research are encouraged to apply for the NIDDK F31 (PA-18-671).
This Funding Opportunity Announcement (FOA) does not allow applicants to propose to lead an independent clinical trial, but does allow applicants to propose research experience in a clinical trial led by a sponsor or co-sponsor

Revised NIAID Policy Defining the Institutes Use of the Mentored Research Scientist Career Development (K01) Award

NOT-AI-19-061

NIAID

Jul 17 2019

N/A

Revised NIAID Policy Defining Institute’s of Mentored Research Scientist Career Development K01) Award Notice Number: NOT-AI-19-061 Key Dates Release Date: July 15, 2019 Related Announcements NOT-AI-17-015 Rescinded PA-19-126 Issued National Institute Allergy Infectious Diseases NIAID) Purpose notice replaces NOT-AI-17-015 and revises Institute’s K01 submission policy.  Beginning the October 12, 2019 application due date beyond, NIAID support Mentored Research Scientist Career Development Award K01) PA-19-126 and reissues) only the areas epidemiology data science*. includes is limited computational modeling, bioinformatics, big data advanced statistical analyses the prevention, treatment, discovery, prediction forecasting infectious, immunologic and/or allergic diseases. predominance the specific aims proposed must in or of research area(s). * NIH defines data science the interdisciplinary field inquiry which quantitative analytical approaches, processes, systems developed used extract knowledge insights increasingly large and/or complex sets data. Inquiries Please direct inquiries to: Shawn Drew Gaillard, Ph.D. National Institute Allergy Infectious Diseases Telephone: 240-627-3857 Email: Shawn.Gaillard@nih.gov

data science, big data, computational, bioinformatics
Research Career Enhancement Award to Advance Therapy Development for Alzheimer's (K18)

PAR-17-052

NIA

Nov 07 2016

Jan 08 2020

This NIA Research Career Enhancement Award (K18) program invites applications from qualified researchers to acquire training and career development experiences that close expertise gaps in data science and in drug discovery. The goal of the program is to allow Alzheimer's Disease (AD) researchers to expand their expertise to become more effective in leading cross-disciplinary, translational, team-science projects in AD or AD-related dementias (ADRD). This award will also allow data scientists to redirect their expertise toward the study of AD and ADRD.

RESCINDED - Notice of Intent to Publish a Funding Opportunity Announcement for Rare Disease Cohorts in Heart, Lung, Blood and Sleep Disorders (UG3/UH3

NOT-HL-18-620

NHLBI

Apr 13 2018

N/A

Notice Intent Publish Funding Opportunity Announcement Rare Disease Cohorts Heart, Lung, Blood Sleep Disorders UG3/UH3) Notice Number: NOT-HL-18-620 Key Dates Release Date: April 13, 2018 RESCINDED) Estimated Publication Date Funding Opportunity Announcement: 12/01/2018 First Estimated Application Due Date:02/01/2019 Earliest Estimated Award Date:10/31/2019 Earliest Estimated Start Date:12/31/2019 Related Announcements None Issued National Heart, Lung, Blood Institute NHLBI) Purpose National Heart, Lung Blood Institute intends promote new initiative establish cohorts rare heart, lung, blood, and/or sleep HLBS) diseases enables multidisciplinary teams conduct natural history mechanistic studies provide evidence base future clinical trials improved diagnostics.  studies help advance fundamental insights key molecular, genomic, clinical, environmental behavioral determinants rare HLBS diseases their outcomes leading diagnostic therapeutic strategies.   NHLBI interested applications will address questions relevant the NHLBI mission, address gaps the NHLBI?s portfolio rare disease cohorts that align the Institute ' s Strategic Vision https://www.nhlbi.nih.gov/about/documents/strategic-vision). NHLBI intends to utilize UG3/UH3 activity code, bi-phasic, milestone-driven cooperative agreement. Details the planned FOA provided below. Notice being provided allow potential applicants sufficient time develop responsive proposals.  FOA expected be published October 2018 anticipated application receipt dates February 2019 February 2020. Research Initiative Details planned initiative provide opportunities efficiently advance rare disease research using genetics deep phenotyping characterize disease to identify disease sub-types; use data science methods integrate clinical patient-reported outcomes PROs) laboratory, imaging omics data understand natural history disease;  generate data differentiate patients the same morphological phenotype different genetic mutations  severity outcomes; elucidate genotype-phenotype interactions multisystem phenotyping develop reliable valid predictive tools determine will respond which treatments when intervene; to encourage innovative methods such telemedicine reach subjects rare diseases located remote locations without access a major academic medical center. goal this initiative to encourage creative innovative research; such, applications should propose studies investigating hypotheses research questions currently addressed cohorts funding the NHLBI. RFA invite applications propose cohorts are created de novo or re-establish study populations enrolling patients previously-funded cohorts, clinical trials registries. Funding Information Estimated Total Funding 1,625,000 Total Costs) Expected Number Awards 4 Estimated Award Ceiling 500,000 Direct Costs) Primary CFDA Numbers 93.837, 93.838, 93.839, 93.840, 93.233 Anticipated Eligible Organizations Public/State Controlled Institution Higher Education Private Institution Higher Education Nonprofit 501(c)(3) IRS Status than Institution Higher Education) Nonprofit without 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) City township governments Indian/Native American Tribally Designated Organization Native American tribal organizations than Federally recognized tribal governments) Indian/Native American Tribal Government than Federally Recognized) Regional Organization  Applications not being solicited this time.   Inquiries Please direct inquiries to: Ellen M. Werner, PhD, MA  National Heart, Lung, Blood Institute  301-435-0065  wernere@nhlbi.nih.gov 

data science
REQUEST FOR PROPOSAL (RFP): BIOINFORMATICS RESOURCE CENTERS FOR INFECTIOUS DISEASES, RFP-NIAID-DMID-NIHAI201800005

NOT-AI-19-009

NIAID

Oct 15 2018

N/A

REQUEST PROPOSAL RFP): BIOINFORMATICS RESOURCE CENTERS INFECTIOUS DISEASES, RFP-NIAID-DMID-NIHAI201800005 Notice Number: NOT-AI-19-009 Key Dates Release Date:October 15, 2018 Related Announcements None Issued National Institute Allergy Infectious Diseases NIAID) Purpose National Institute Allergy Infectious Diseases NIAID), National Institutes Health NIH), the Department Health Human Services DHHS) supports research related the basic understanding microbiology immunology leading the development vaccines, therapeutics, medical diagnostics the prevention, treatment, diagnosis infectious immune-mediated diseases.   NIAID, Division Microbiology Infectious Diseases DMID) a requirement maintain Bioinformatics Resource Centers BRCs), have become critical resource data tools generated NIAID supported programs other publicly accessible data the infectious disease research community.   NIAID made significant investment funding basic clinical research projects are generating large, diverse complex data sets including genomics/omics data, clinical data, immune phenotyping assay data, imaging other data sets. infectious diseases immune mediated diseases communities become data-intense enterprise a priority NIAID to transform data knowledge understand pathogenesis, transmission, evolution the pathogen, pathogen-host interactions the host response infectious diseases inform development new improved diagnostics, therapeutics, vaccines. NIAID invested bioinformatics data science data generated NIAID intramural extramural communities has expanded activities data management systems, bioinformatics resource centers data repositories/knowledgebases have provided broad scientific community user friendly access open data analytical tools.   Since inception 2004, NIAID’s BRCs focused supporting providing genome sequence databases annotation microbial organisms. BRCs provided infectious disease research community publicly accessible systems store, update, integrate display genome sequence data its annotation, functional genomics other ldquo;omics” data, other associated data information a large variety human pathogens vectors human pathogens related microbial species strains. BRC systems allow users query analyze data. a result, BRCs become public repository primary resource data tools generated NIAID supported programs other publicly accessible data the infectious disease research community.   objective this solicitation to continue support the BRCs provide data-driven, production-level sustainable computational platform(s) enable sharing access usable re-usable data, portable computational tools standards support interoperability the infectious diseases research community. Through effort NIAID continue provide bioinformatics services training support large-scale, system level diverse data integration modeling, enable predictive biology pathogens host-pathogen interactions will accelerate discovery research, clinical investigation, therapeutic development infectious diseases. addition, platform infrastructure expected serve a model future NIAID systems. change the previous competition should noted: to 2) BRCs be awarded one 1) contract awarded bacterial species viral families one 1) contract awarded protozoan species, fungi invertebrate vectors human pathogens. Offerors propose one both data resources the group organisms. Funding under prior solicitation NOT required submission this solicitation.   is anticipated two 2) cost-reimbursement plus fixed-fee, level-of-effort, type contracts be awarded a one-year base period performance beginning or around September 1, 2019. Awards expected include four 4) one-year option periods. total period performance, including options, five 5) years. Government’s base level-of-effort requirement estimated 43,680 direct labor hours each contract period, equating 21 Full Time Equivalents FTEs) an FTE being defined 2,080 direct labor hours. addition the base level-of-effort, contract period shall contain option quantity up nine 9) additional FTEs.   NIAID recognizes a single organization institution not the full spectrum expertise facilities required perform activities set forth the Statement Work. Contractors need be supported a certain extent the expertise resources other organizations persons through consortia agreements, partnerships, subcontracts, and/or consultants. However, contractors shall responsible ALL work performed shall responsible project planning, initiation, implementation, management communication; evaluation, selection, management subcontractors; for deliverables specified this contract.   Any responsible Offeror submit proposal will considered the Agency. Request Proposal RFP) available electronically may accessed through FedBizOpps https://www.fbo.gov.  notice does commit Government award contract. collect calls be accepted. facsimile transmissions be accepted   this solicitation, NIAID requires proposals be submitted via 2) methods: 1) Disc CD DVD) 2) Online via NIAID electronic Contract Proposal Submission eCPS) website. content the disc online proposals must identical. Submission proposals facsimile e-mail not acceptable.   directions using eCPS, to website https://ecps.nih.gov and click ldquo;How Submit.” Inquiries Please direct inquiries to: Primary Contact: Brian Madgey National Institute Allergy Infectious Diseases NIAID) Telephone: 240-627-3712 Email: madgeyba@mail.nih.gov   Secondary Contact: Stanley Knight National Institute Allergy Infectious Diseases NIAID) Telephone: 240-669-5181 Email: knights@niaid.nih.gov

data science, computational, bioinformatics, data integration
Request for Information:Seeking Feedback on Research Priorities from SCI 2020: Launching a Decade of Disruption in Spinal Cord Injury (SCI) Research

NOT-NS-19-060

NINDS

May 14 2019

N/A

Request Information: Seeking Feedback Research Priorities SCI 2020: Launching Decade Disruption Spinal Cord Injury SCI) Research Notice Number: NOT-NS-19-060 Key Dates Release Date: 14, 2019 Response Date: July 30, 2019 Related Announcements None Issued National Institute Biomedical Imaging Bioengineering NIBIB) Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) National Institute Neurological Disorders Stroke NINDS) National Institute Nursing Research NINR) Fogarty International Center FIC) Purpose spinal cord injury SCI) research community experienced great advances discovery research, technology development, promising clinical interventions the past decade. build upon advances maximize benefit persons SCI, NIH hosted conference February 12-13, 2019 titled ldquo;SCI 2020: Launching Decade Disruption Spinal Cord Injury Research”. purpose the conference to bring together broad range stakeholders including researchers, clinicians health care professionals, individuals SCI, industry partners, regulators, funding agency representatives break down existing communication silos. participants asked critically evaluate state the science, assess areas technological community readiness, build collaborations could change trajectory research clinical options people SCI. Six primary sessions featured brief presentations recent scientific advances critical research questions the future. Facilitators audience participation encouraged identify opportunities areas collaboration. North American Spinal Cord Injury Consortium other public members provided personal context individuals living SCI defining future research priorities. five final breakout sessions, stakeholders discussed identified key gaps priorities SCI research the next decade. open sessions both days the conference be viewed at https://videocast.nih.gov/summary.asp?live=30194&bhcp=1 and https://videocast.nih.gov/summary.asp?live=30198&bhcp=1. Information Requested: NIH Institutes above soliciting comments suggestions the top priorities identified the five SCI 2020 breakout sessions summarized below. collated responses be shared the public will included a meeting summary document prepared collaboration the Spinal Cord Injury Model Systems Knowledge Translation Center https://msktc.org/about). NIH Institutes encourage input all interested stakeholders, including researchers, clinicians health care providers, individuals SCI, patient advocates health advocacy organizations, scientific professional organizations, federal agencies, well other interested members the public. Responders this RFI also encouraged provide input how research research capacity building the priority areas be adopted low resource settings including low- middle-income countries. Organizations strongly encouraged submit single response reflects views their organization membership. Optional: Please indicate you a researcher, clinician health care provider, individual SCI, patient advocate, and/or interested party. you submitting response behalf an organization, please indicate name your organization. SCI 2020: Research Priorities: Theme A: Improve care SCI patients the acute trauma setting Develop optimized approach infrastructure managing acute SCI: Establish evidence-based medical guidelines improve care SCI the time injury, including on-site stabilization, transportation admittance the ER trauma center. Establish evidence-based medical guidelines improve care SCI inpatient settings until discharge. Evaluate differences care during early period weeks months) after injury contribute long-term outcomes. Define provide specialty clinical expertise needed sites provide acute trauma care SCI. Improve multi-directional education among clinicians, patients, family, community peers. Align preclinical studies clinical conditions: Optimize of preclinical biomarkers outcome measures clinical relevance. Define clinically-feasible intervention window promising therapeutic approaches. Theme B: Accelerate research development therapies repair, plasticity improved functional recovery post-acute chronic SCI Develop use state the art technologies transform way study plasticity, circuits repair human SCI, well animal models. Expand fundamental knowledge the cells, circuits responses interventions inform innovative combinatorial repair approaches using cutting edge tools technologies. Define specificity requirements axonal growth, synapse formation, cell replacement, pathway activity and/or reconstruction circuits support recovery all stages post-injury. Optimize efficiency the of data standards data-sharing opportunities bench bedside bedside bench including unpublished data). Theme C: Improve evidence for, implementation of, functional recovery neuromodulation use-dependent plasticity Encourage longitudinal treatment studies study designs are informed outcomes high priority individuals chronic SCI. Understand mechanisms action characterize variables predict responsiveness neuromodulation interventions both early post-acute chronic conditions. Facilitate data sharing aggregation enable data science research can inform clinical care improve cost effectiveness interventions target recovery. Utilize input individuals SCI identify are acceptable risk/benefit ratios clinical trials modeled around the FDA’s Patient Engagement efforts). Theme D: Improve knowledge the full range health impacts chronic SCI Employ multi-site multi-disciplinary studies, SCI consumer community input, preclinical evidence use common data elements to: Understand impact behavioral, lifestyle, environmental factors reduce morbidity mortality across lifespan people SCI, a special emphasis nutrition metabolism, activity/exercise, and lean/fat mass a biomarker obesity. Promote safe efficient care recovery bowel, bladder sexual function; understand infection systemic inflammation impact functions individuals SCI. Understand biology impact SCI systemic health emphasis stressors effect immune function, role sensory autonomic regulation, physical mental health outcomes. Theme E: Improve functional recovery after SCI assistive technology Demonstrate assistive devices be used promote independence improve recovery after discharge. Incorporate user input, comparative effectiveness research, data sharing strategies establish robust evidence adoption assistive technologies. Improve reliability stability devices tissue interfaces lower barriers adoption improve embodiment. Develop approaches assistive devices adapt changes physical developmental needs, abilities, priorities the user over lifespan. to Submit Response: Responses this RFI must submitted electronically using web-based form at? https://www.ninds.nih.gov/RFI-NOT-NS-19-060 Responses be accepted through July 30, 2019. Responses voluntary may submitted anonymously. Respondents advised the Government under obligation acknowledge receipt the information received provide feedback respondents respect any information submitted. Responses be shared publicly an NIH website. Please not include any personally identifiable other information you not wish make public. proprietary, classified, confidential, sensitive information should included your response. request for information planning purposes only should be construed a solicitation as obligation the part the United States Government. NIH not any awards based responses this RFI pay the preparation any information submitted for Government's of such information. Inquiries Please direct inquiries to: Lyn Jakeman, PhD National Institute Neurological Disorders Stroke NINDS) Telephone: 301-827-5832 Email: lyn.jakeman@nih.gov Carol Taylor-Burds, PhD National Institute Neurological Disorders Stroke NINDS) Telephone: 301-496-1447 Email: carol.taylor-burds@nih.gov

data science, common data, data standards
Request for Information (RFI): Strengthening the Early Stages of the NIDA Training Pipeline through Massively Open Online Courses on the Biomedical In

NOT-DA-16-027

NIDA

Apr 12 2016

N/A

Request Information RFI): Strengthening Early Stages the NIDA Training Pipeline through Massively Open Online Courses the Biomedical Informatics Addiction Research Notice Number: NOT-DA-16-027 Key Dates Release Date:    April 12, 2016 Response Date: July 3, 2016 Related Announcements None     Issued National Institute Drug Abuse NIDA) Purpose Training next generation addiction researchers a critical priority the National Institute Drug Abuse NIDA).  need expertise biomedical informatics, statistics Big Data science increasing across of biomedical research, including addiction.  NIDA seeks create massive open online course MOOC) providing teaching materials begin training the next generation quantitative addiction researchers.  purpose this Request Information RFI) to seek broad public input the design the course, the best methods implementation. Background mission NIDA to lead nation bringing power science bear drug abuse addiction. Part fulfilling mission includes creating pipeline training opportunities ensure research workforce adequately skilled. need increased education statistics, informatics data science grown the development new technologies neuroscience biomedical research. MOOCs able reach audiences the thousands. are available online websites such Coursera EDx, offering huge advantage over local courses requiring travel.  are already MOOCs available focusing informatics neuroscience data analysis. However, are MOOCs biomedical informatics directly related addiction research.  specifically, NIDA interested strengthening training pipeline produce influx researchers trained these techniques providing MOOC-distributed training materials students and/or teachers. Information Requested RFI intended gather broad public input the biomedical informatics, statistics Big Data lecture topics deemed valuable training next generation addiction researchers the most appropriate methods distribute those topics.  Advice sought includes is limited the following items ranked priority NIDA, please provide feedback as as possible: Ideas the target audience:  NIDA considered advanced high school students have sophistication integrate materials related addiction research biomedical informatics.  example, includes ideas constraining audience those students considering experiences a research lab ideas the value broadly targeting students hopes exciting those considering experience a research lab. Ideas whether is appropriate constrain topic domain addiction, whether is valuable students early their training arc obtain broader biomedical informatics training spans disease areas. Ideas whether placing statistics biomedical informatics the context addiction research provides greater intuition. Ideas how MOOC materials fit existing curriculum:  example, a high school audience targeted, should MOOC integrated existing curriculum, used class a supplement such curriculum serve an outside activity such an after-school club. Ideas whether such course serve a virtual lab” students do have opportunity view analyze research data, are interested research related majors. Ideas whether such course serve a strength the resume students applying work labs the undergraduate level beyond, including community college/associate level. Ideas whether teachers should serve the primary viewers these online courses going through materials using to create customized curriculum their students. Ideas topic areas within biomedical informatics should included the MOOC. Ideas whether regression z-scores be suitable degree challenge high school students sought. Ideas whether multi-dimensional analysis machine learning suitable challenges pre-associates pre-baccalaureate levels targeted.  Ideas how lectures should MOOC comprised of, how long should lecture be: response or not provided consideration the above bullet lecture topics. Ideas whether funded research investigators are experts these areas should the presenters the MOOC lectures:  a high school audience sought, comment funded research investigators working high school teachers if the best to foster such collaborations. Ideas what media e.g. websites, technologies) should used disseminate materials. Insights format materials each individual lecture e.g. 1 video directed teachers, 1 video use students, data, handouts homework assignments). Insights the formatting the entire compiled course. NIDA collected following listing topics relevance advance biomedical informatics within addiction research.  Please comment these potential MOOC lecture topics what level education/aptitude should targeted towards.  Please also provide additional topics would prepare students early the training pipeline experiences the lab: Analysis voltammetry signaling; Longitudinal analysis calcium imaging microelectrode data over temporal course self-administration Analysis temporal geospatial data mHealth studies Construction correlation matrices during resting state fMRI tasks Epidemiological analysis national local drug Construction Manhattan plots genetics analysis Dimensionality reduction allowing visualization high-dimensional data; Single trial analyses other high-resolution investigations research data; Investigating individual variability self-administration behavioral data explore resilience vulnerability factors; Automated analysis machine learning classification big behavioral data," such multiple camera long-term video monitoring naturalistic behaviors e.g. the home cage setting), recording ultrasonic vocalizations other behavioral measures; Analysis electronic health record EHR) data identify patterns health care data could identify those risk developing substance misuse substance disorders those risk relapsing e.g. integration EHRs administrative data examine impact the design performance the service delivery system patient outcomes); Methods integrate analyze multiple sources health data i.e., EHR, mobile device, etc.) to Submit Response ensure consideration, responses must received July 3, 2016, should emailed vani.pariyadath@nih.gov. Respondents not receive individualized feedback. respondents encouraged sign for NIDA E-News updates http://www.drugabuse.gov/international/sign-up-e-news) receive information related Institute activities, including updates the development release the final Strategic Plan. Responses this RFI voluntary. Please not include any personally identifiable other information you not wish make public. Proprietary, classified, confidential, sensitive information should be included responses. Comments submitted be compiled discussion incorporated the NIDA Strategic Plan appropriate. Any personal identifiers personal names, email addresses, etc.) be removed responses compiled. RFI for informational planning purposes only should be construed a solicitation as obligation the part the Federal Government general, NIH, NIDA specifically. NIDA does intend make any awards based responses this RFI pay the preparation any information submitted for Government’s of such information. Inquiries Please direct inquiries to: Vani Pariyadath National Institute Drug Abuse NIDA) Telephone: 301-443-3209 Email: vani.pariyadath@nih.gov

data science, big data, informatics, machine learning, statistics
Request for Information (RFI): Soliciting Input for the National Institutes of Health (NIH) Strategic Plan for Data Science

NOT-OD-18-134

OD

Mar 05 2018

N/A

Request Information RFI): Soliciting Input the National Institutes Health NIH) Strategic Plan Data Science Notice Number: NOT-OD-18-134 Key Dates Release Date: March 5, 2018 Response Date: April 2, 2018 Related Announcements NOT-OD-19-014 NOT-OD-19-034 NOT-OD-19-122 Issued National Institutes Health NIH) Purpose purpose this Request Information RFI) to invite comments suggestions the first National Institutes Health NIH) Strategic Plan Data Science. NIH publishing Notice solicit input topics under consideration the strategic plan its stakeholders, including members the scientific community, academic institutions, private sector, health professionals, professional societies, advocacy groups, patient communities, well other interested members the public. Background Data science an integral component modern biomedical research. is interdisciplinary field inquiry which quantitative analytical approaches, processes, systems developed used extract knowledge insights increasingly large and/or complex sets data. Data science increased importance biomedical research over past decade NIH expects trend continue. order capitalize the opportunities presented advances data science, overcome key challenges, NIH developing Strategic Plan Data Science. plan describes NIH’s overarching goals, strategic objectives, implementation tactics promoting modernization the NIH-funded biomedical data science ecosystem. complete draft plan available at: https://grants.nih.gov/grants/rfi/NIH-Strategic-Plan-for-Data-Science.pdf. Information Requested RFI seeks input stakeholders throughout scientific research community the general public regarding above draft NIH Strategic Plan Data Science. NIH seeks comments any the following topics: appropriateness the goals the plan of strategies implementation tactics proposed achieve them; Opportunities NIH partner achieving goals; Additional concepts should included the plan; Performance measures milestones could used gauge success elements the plan inform course corrections; Any topic respondent feels relevant NIH consider developing strategic plan. to Submit Response Responses this RFI must submitted electronically at: http://grants.nih.gov/grants/rfi/rfi.cfm?ID=73 .  Responses must received April 2, 2018. Responses this RFI voluntary. Do include any proprietary, classified, confidential, trade secret, sensitive information your response. The responses be reviewed NIH staff, individual feedback not provided any responder. Government use information submitted response this RFI its discretion. Government reserves right use any submitted information public NIH websites, reports, summaries the state the science, any possible resultant solicitation(s), grant(s), cooperative agreement(s), in development future funding opportunity announcements. RFI for information planning purposes only shall be construed a solicitation, grant, cooperative agreement, as obligation the part the Federal Government, NIH, individual NIH Institutes Centers provide support any ideas identified response it. Government not pay the preparation any information submitted for Government’s of such information. basis claims against U.S. Government shall arise a result a response this request information from Government’s of such information. NIH looks forward your input we hope you share RFI document your colleagues. Inquiries Please direct inquiries to: Cindy Caughman. M.P.H. Scientific Data Council Telephone: 301-496-8190 Email: DataScienceRFI@mail.nih.gov  

data science
Request for Information (RFI): Next-Generation Data Science Challenges in Health and Biomedicine

NOT-LM-17-006

NLM

Sep 26 2017

N/A

Request Information RFI): Next-Generation Data Science Challenges Health Biomedicine Notice Number: NOT-LM-17-006 Key Dates Release Date: September 26, 2017 Response Date:   November 1, 2017 Related Announcements NOT-LM-18-001 Issued National Library Medicine NLM) Purpose behalf the National Institutes Health NIH), National Library Medicine NLM) seeks community input new data science research initiatives could address key challenges currently faced researchers, clinicians, administrators, others, all areas biomedical, social/behavioral health-related research. field data science broad scope, encompassing approaches the generation, characterization, management, storage, analysis, visualization, integration use large, heterogeneous data sets have relevance health biomedicine. Data science undergirds broad interdependent objectives the NIH Strategic Plan https://www.nih.gov/about-nih/nih-wide-strategic-plan). Information data science research directions could lead breakthroughs any all NIH interest areas welcomed, whether applicable across wide swaths health biomedicine, focused particular research domains. Background   During past five years, in response a 2012 working group report data informatics issued the Advisory Committee the NIH Director ACD) https://acd.od.nih.gov/working-groups/diwg.html), NIH made substantial investments a data science infrastructure tools, resources workforce components a digital research ecosystem health biomedicine. https://commonfund.nih.gov/bd2k/). Building this foundation, landscape data science research evolved is rapidly changing, within beyond NIH, institutes, centers, offices.  2015, another ACD working group recommended NLM become programmatic administrative home data science NIH, complementing NIH’s efforts catalyze open science, data science research reproducibility https://acd.od.nih.gov/documents/reports/Report-NLM-06112015-ACD.pdf). Accordingly, help NIH continue strengthen expand scope its investments data science, NLM seeks information public private organizations e.g., universities industry) individuals promising data science research directions health biomedicine. Information Requested NLM requests information the three focal areas listed below: 1. Promising directions new data science research the context health biomedicine.  Input might address such topics Data Driven Discovery Data Driven Health Improvement. 2. Promising directions new initiatives relating open science research reproducibility. Input might address such topics Advanced Data Management Intelligent Learning Systems Health. 3. Promising directions workforce development new partnerships. Input might address such topics Workforce Development Diversity New Stakeholder Partnerships. Within general topic areas, others related data science health biomedicine, NLM invites researchers, clinicians, organizations, industry representatives other interested parties provide input on: Research areas could benefit most advanced data science methods approaches; Data science methods need updating, gap areas where new approaches needed;  Priorities new data science research; Appropriate partnerships settings expanded data science research. to Submit Response Response this RFI must submitted https://www.research.net/r/NLMDataSci November 1, 2017. Responses should provided a narrative form up 3 pages per topic, links pertinent supplemental information needed. attachments be accepted. proprietary, classified, confidential, sensitive information should included your response. Responses this RFI voluntary. RFI seeks input planning purposes only should be construed a solicitation applications an obligation the part the Federal Government, National Institutes Health, individual NIH Institutes Centers. information collected not considered confidential, identifiers names, institutions, emails, etc.) be removed responses compiled. Processed, anonymized results be shared internally with members health-related scientific work groups, may posted an NIH public website, appropriate.  NIH acknowledge receipt information submitted, will comment the content. Inquiries Please direct inquiries to: Valerie Florance, PhD National Library Medicine NLM) Telephone: 301-496-4621 Email: NLMEPInfo@mail.nih.gov

data science, informatics
Request for Information (RFI): Making Data Usable--A Framework for Community-Based Data and Metadata Standards Efforts for NIH-relevant Research

NOT-ES-15-002

NIEHS

Nov 06 2014

N/A

Request Information RFI): Making Data Usable--A Framework Community-Based Data Metadata Standards Efforts NIH-relevant Research Notice Number: NOT-ES-15-002 Key Dates Release Date: November 5, 2014 Response Date: December 5, 2014 Related Announcements None Issued National Institute Environmental Health Sciences NIEHS) National Cancer Institute NCI) National Institute Aging NIA) National Institute Allergy Infectious Diseases NIAID) National Institute Biomedical Imaging Bioengineering NIBIB) Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) National Institute Deafness Other Communication Disorders NIDCD) National Institute Mental Health NIMH) National Institute Neurological Disorders Stroke NINDS) National Institute Nursing Research NINR) National Library Medicine NLM) National Center Complementary Alternative Medicine NCCAM) National Center Advancing Translational Sciences NCATS) Office Strategic Coordination Common Fund) Purpose mission the NIH Big Data Knowledge BD2K) initiative to enable biomedical scientists capitalize fully the Big Data being generated those research communities. BD2K aims develop new approaches, standards, methods, tools, software, competencies will enhance use biomedical Big Data1 supporting research, implementation, training data science other relevant fields. addressing goal, important aspect to biomedical research data resources maximally shareable reusable. this reason, BD2K formulating approaches encourage development facilitate use data-related including metadata) standards broadly across biomedical research community is, therefore, interested the issues involved developing community-based standards. Request Information RFI) solicits comments ideas related how community standards activities initiated, developed, disseminated, sustained any role NIH might play helping catalyze such efforts. Background Community-based data metadata standards been generated many levels across biomedical research community, small research consortia multinational enterprises facilitate comparison integration data different sources, accelerate collaboration, to enable broad sharing reuse data. Examples include grass-roots efforts such the Gene Ontology GO) more heavily organized efforts such Logical Observation Identifiers Names Codes LOINC), the Digital Imaging Communication Medicine DICOM) standard radiological image transfer. Any such effort must only address specific but, also, set common issues, latter including not necessarily limited to) definition mission scope, governance operational procedures, such processes creating, publishing maintaining standards make useful widely accepted. Different groups employed range strategies variable degrees complexity, formality documentation carry their activities support community-based standards development. opportunities value secondary uses data increasing, i.e., scientists are those originally generated data increasingly able extract new knowledge them. Researchers combine existing data sets across studies integrate different complex data types address questions unanticipated the original investigator(s). ability do is highly affected the extent quality the annotation the original data sets. evidence suggests without appropriate data metadata standards, meaningful data sharing the promise new knowledge created those data, not possible2 Thus, widespread of high quality data metadata standards, part a larger effort promote data access reuse, essential NIH to fully capitalize the explosion biomedical Big Data advancing fundamental knowledge complex human biology its translation human health. NIH recognizes are already numerous standards groups, both public private, across scientific disciplines. of have developed proven processes, infrastructure, community support methodologies. NIH interested exploring the BD2K initiative contribute the improvement policies, governance, administrative procedures, funding support community-based standards CBS) efforts develop and/or extend data and/or metadata standards, how activities relate other ongoing nascent biomedical research activities. Within context, lsquo;community’ encompasses broad range stakeholders may engaged the process data standards development use, including technical developers, librarians, science domain experts, researchers, information scientists, vendors, funders, publishers, other end users. Information Requested stakeholders an interest CBS invited provide information. response include, is limited to, membership within industry, government, academia. you choose, can categorize area expertise including that apply: Standards Efforts Data Management Clinical Science Basic Science Research Information Science e.g., biomedical informatics) Publishing Library Science Funding End-user NIH seeking information include, not limited to, following areas: Effective approaches, processes, activities could advance community-based standards landscape e.g., creating collaborative workspace an advising structure toward standards development, extension, adoption). Gaps community-based data standards relevance biomedical research, including real use-cases e.g., emerging fields technologies, research domains multiple existing data standards could benefit additional work, integration and/or reconciliation). Lessons learned existing CBS efforts, particularly examples field-tested processes infrastructure known examples failures CBS efforts. Common challenges CBS development e.g., methods community engagement building interoperability other related standards). Considerations evaluating progress milestones assess data standards development utility. Effective approaches addressing need sustain useful standards, to update existing standards a field develops. Submitting Response responses must submitted BD2K_CBS_RFI@niehs.nih.gov December 5, 2014. Please include Notice number NOT-ES-15-002 the subject line. Response this RFI voluntary. Responders free address any all the categories listed above. submitted information be reviewed the NIH staff. Submitted information be considered confidential. Responses this RFI voluntary. Please not include any proprietary, classified, confidential, sensitive information your response. NIH use information submitted response this RFI its discretion will provide comments any responder's submission. collected information be reviewed NIH staff, appear reports, may shared publicly an NIH website. Government reserves right use any non-proprietary technical information summaries the state the science, any resultant solicitation(s). NIH use information gathered this RFI inform development future funding opportunity announcements. RFI for information planning purposes only should be construed a solicitation as obligation the part the Federal Government, National Institutes Health NIH), individual NIH Institutes Centers. basis claims against U.S. Government shall arise a result a response this request information from Government’s of such information. 1 term Big Data' meant capture opportunities challenges facing biomedical researchers accessing, managing, analyzing, integrating datasets diverse data types e.g., imaging, phenotypic, molecular including various '–omics'), exposure, health, behavioral, the other types biological biomedical behavioral data] are increasingly larger, diverse, more complex, that exceed abilities currently used approaches manage analyze effectively. Big Data emanate three sources: 1) small number groups produce very large amounts data, usually part projects specifically funded produce important resources use the entire research community; 2) individual investigators produce large datasets, often empowered the of readily available new technologies; 3) even greater number sources each produce small datasets e.g. research data clinical data electronic health records) whose value be amplified aggregating integrating with data. http://bd2k.nih.gov/about_bd2k.html#sthash.IF3zQOrz.dpbs. 2 the report the Data Informatics Working Group the Advisory Committee the Director, NIH ACD), available at: http://acd.od.nih.gov/Data%20and%20Informatics%20Working%20Group%20Repor.... Inquiries Please direct inquiries to: Cindy P. Lawler, Ph.D. National Institute Environmental Health Sciences NIEHS) Telephone: 919-316-4671 Email: Lawler@niehs.nih.gov

data science, big data, informatics, data standards

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