Research Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on September 14, 2018

Feed last updated: February 14 2019 11:48 am
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
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
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 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
Request for Information (RFI): Inviting Comments and Suggestions on the NIH-wide Strategic Plan

NOT-OD-15-118

NIH

Jul 22 2015

N/A

Request Information RFI): Inviting Comments Suggestions a Framework the NIH-wide Strategic Plan Notice Number: NOT-OD-15-118 Key Dates Release Date: July 22, 2015 Response Date: August 16, 2015 Related Announcements None     Issued National Institutes Health NIH) Purpose Notice a time-sensitive Request Information RFI) inviting comments suggestions the framework the NIH-wide Strategic Plan. NOTE: is important read entire RFI notice ensure adequate response prepared to a full understanding how response be utilized. Background response a request the Congress, NIH developing 5-year NIH-wide Strategic Plan advance mission support research pursuit fundamental knowledge the nature behavior living systems, the application that knowledge extend healthy life reduce illness disability. Senior leadership staff all 27 Institutes, Centers, Offices ICOs) contributing the proposed direction content the Strategic Plan, input the Advisory Committee the Director, NIH. framework below identifies crosscutting areas research exemplifying breadth ICOs' priorities aims outline set unifying principles guide NIH pursuit its mission. goal this larger NIH-wide strategic plan not outline myriad important research opportunities specific disease applications that covered the strategic plans each the ICOs, will referenced appropriately), to highlight major trans-NIH themes. Strategic Plan due the Congress late December 2015. NIH-wide Strategic Plan Framework Overview section include discussion subjects such the NIH mission, status and opportunities biomedical research, current NIH-supported research landscape i.e., basic applied research, extramural intramural research, ICOs their own strategic plans, Common Fund, challenges), constraints confronting community the face lost purchasing power Areas Opportunity Apply Across Biomedicine Promote Fundamental Science Basic Science the foundation progress Consequences basic science discoveries often unpredictable Advances clinical research methodologies stimulate scientific progress Leaps Technology often catalyze major scientific advances Data science increases impact efficiency research nbsp; Improve Health Promotion Disease Prevention Importance studying healthy individuals Advances early diagnosis/detection Evidence-Based interventions eliminate health disparities nbsp; Advance Treatments Cures Unprecedented opportunities the basis molecular knowledge Breakdown traditional disease boundaries Breakthroughs need partnerships often from unexpected directions Unifying Principles Set NIH Priorities – NIH sets priorities incorporating measures disease burden, understanding need foster scientific opportunity through nimble adaptable methods, supporting opportunities presented rare disease research, considering value permanently eradicating pandemic Enhance Stewardship NIH enhances stewardship the research enterprise recruiting retaining outstanding biomedical research workforce, enhancing workforce diversity, , encouraging innovation, optimizing approaches guide decisions made, enhancing partnerships, promoting scientific rigor reproducibility, reducing administrative burden, employing risk management strategies decision-making.   Information Requested RFI seeks input stakeholders throughout scientific research community the general public regarding above proposed framework the NIH-wide Strategic Plan. NIH seeks comments any all of, not limited to, following topics: Potential benefits, drawbacks/challenges, areas consideration the current framework Compatibility the framework the broad scope the NIH mission Additional concepts ICO strategic plans are cross-cutting should included this trans-NIH strategic plan Comprehensive trans-NIH research themes have been captured the Areas Opportunity Apply Across Biomedicine   Components the Areas Opportunity Apply Across Biomedicine are applicable an NIH-wide Strategic Plan Future opportunities emerging research needs to Submit Response comments must submitted electronically the submission website. Responses longer 300 words MS or pdf format) must received 11:59:59 pm ET) August 16, 2015. will an electronic confirmation acknowledging receipt your response.  Responses this RFI voluntary. not include any proprietary, classified, confidential, trade secret, sensitive information your response. 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. look forward your input hope you share RFI document your colleagues. Inquiries Please direct inquiries to: Email: nihstrategicplan@od.nih.gov

data science
Request for Information (RFI): Inviting Comments and Suggestions on the Environmental influences on Child Health Outcomes (ECHO) Program (the National

NOT-OD-15-117

NIH

Jul 13 2015

N/A

Request Information RFI): Inviting Comments Suggestions the Environmental influences Child Health Outcomes ECHO) Program National Children's Study Alternative) Notice Number: NOT-OD-15-117 Key Dates Release Date:   July 13, 2015 Response Date: August 14, 2015 Related Announcements None     Issued National Institutes Health NIH) Purpose Notice a time-sensitive Request Information RFI) inviting comments suggestions the proposed plan the Environmental influences Child Health Outcomes ECHO) program. NOTE: is important read entire RFI notice ensure adequate response prepared to a full understanding how response be utilized. Background 2000, Congress authorized study children's health development - National Children's Study NCS) - part the Children's Health Act. Due concerns NIH leadership stakeholders, June 2014 Institute Medicine IOM) asked review NCS, proposed national longitudinal study environmental influences including physical, chemical, biological, psychosocial) child health development. resulting IOM report expressed concerns the study's design, management, oversight structure, anticipated cost. an outcome the IOM report, launch the Main Study the NCS put hold, a working group the Advisory Committee the Director ACD) NIH, included experts the fields pediatric environmental health, charged reviewing NCS evaluate feasibility. December 2014, ACD recommended that, while overall goals the NCS should remain priority future scientific support, NCS not feasible currently outlined. After careful consideration discussion NIH senior leadership, Dr. Collins accepted ACD's recommendation discontinue NCS. make best of fiscal year FY) 2015 appropriated funds, NIH leadership staff worked diligently identify opportunities address challenges the intersection pediatric environmental health through alternative approaches are consistent the original goals the NCS, including establishing compelling new programs, integrating existing programs, enhancing programs incorporating comprehensive environmental assessments. major focus the comprehensive effort on development tools enhance measurement environmental exposures e.g., physical, chemical, biological, psychosocial) facilitate research across of initiatives programs. Another key component the plan studying environmental influence placental in utero development, the goal identifying seeds" future diseases conditions. Finally, leveraging extant programs, plan aims expand examination environmental influences later child development. keeping the spirit the NCS, initiatives aim address critical goal understanding impact environmental influences children's health development advance field our knowledge. Going forward, overarching goal the FY 2016 plan to leverage expand extant cohorts address new research questions investigate longitudinal impact prenatal, perinatal, postnatal environmental exposures pediatric health outcomes high public health impact. do so, NIH proposes support multiple synergistic, longitudinal studies using extant cohorts represent variable environmental exposures e.g., physical, chemical, biological, psychosocial, natural built environments) will share standardized research questions focus four key pediatric outcomes. longitudinal studies collect same standardized, targeted data Core Elements) a component the project, will managed through Coordinating Center. Coordinating Center, will include analytical data science component, be supported through cooperative agreement NIH. will overseen a Steering Committee NIH staff, heads the Coordinating Center, the PIs the studies. Core Elements be addressed across studies: Demographics e.g., race, gender, ethnicity, socioeconomic status, geographic location/diversity e.g., IDeA States)] Typical early development e.g., growth, milestones, microbiome, sleep, nutrition, activity level] Epigenetic influences early childhood development e.g., maternal exposome"] Environmental factors e.g., physical, chemical, biological utero), psychosocial, natural built environments] Four focus areas address research questions specific critical pediatric conditions health outcomes assess range functioning over time. Focus Areas are: Upper lower airway e.g., asthma, allergies, sleep disordered breathing) Obesity e.g., nutrition, diabetes, metabolic risk factors) Pre-, peri-, postnatal outcomes e.g., birth defects, childhood outcomes) Neurodevelopment e.g., autism, ADHD, depression, social/behavioral development, cognition] FY 2016 plan aims provide flexibility opportunity investigate key questions interest the intersection environmental health pediatric research, while also leveraging additional features capabilities the studies. example, studies could: take maximal advantage existing tissue banks collected across pregnancy e.g., cervicovaginal secretions, maternal DNA, cord blood, placenta) data sets funding additional analyses; serve a test bed validating new technologies, tools, approaches efficient effective environmental pediatric monitoring; systems approaches develop multi-variable models predict disease development; recruit future pregnancies investigate outcomes second children serve a comparison cohort first pregnancy children. an additional research opportunity, FY16 plan also proposes create IDeA States National Pediatric Clinical Research Network, could: Address access gaps rural children through national network pediatric research embedded IDeA locations Link existing IDeA state centers experts clinical trials Information Requested RFI seeks input stakeholders throughout extramural scientific community the general public regarding FY16 ECHO plan. NIH seeks comments any all of, not limited to, following topics: Core Elements: Potential benefits, drawbacks, areas consideration leveraging existing cohorts collect standardized data elements Additional core elements be considered Considerations harmonizing data across cohorts High impact areas opportunity addition those listed Anticipated advances and/or considerations implementing state-of-the-art data collection analytic methodologies throughout duration the study four Focus Areas: Suggestions existing research studies resources might address or of areas, including description the study resource e.g., sample size, demographic information, major health behavioral outcomes, environmental exposures, success or potential follow-up through childhood, available biologic environmental specimens) additional IDeA States opportunity to Submit Response comments must submitted electronically the submission website http://grants.nih.gov/grants/rfi/rfi.cfm?ID=45). Responses longer 300 words MS or pdf format) must received 11:59:59 pm EST) August 14, 2015. will an electronic confirmation acknowledging receipt your response. Responses this RFI voluntary. not include any proprietary, classified, confidential, trade secret, sensitive information your response. 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. 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. look forward your input hope you share RFI document your colleagues. Inquiries Please direct inquiries to: Email: nihkidsandenvironment@nih.gov

data science
Request for Information (RFI): Input on National Cancer Institute Metadata Repository and Services

NOT-CA-15-019

NCI

Apr 03 2015

N/A

Request Information RFI): Input National Cancer Institute Metadata Repository Services Notice Number: NOT-CA-15-019 Key Dates Release Date: April 3, 2015 Response Date: 15, 2015  Related Announcements None     Issued National Cancer Institute NCI) Purpose National Cancer Institute NCI) Center Bioinformatics Information Technology CBIIT) seeking broad input feedback from sources of expertise interest semantic metadata management services. cornerstone these services the Cancer Data Standards Registry caDSR), repository data element descriptions form designs, semantics linked NCI’s controlled terminology. caDSR offers services the cancer research community create, access, maintain, use descriptions across application systems, files, databases. CBIIT wants understand to the NCI common data elements useful, accessible, easier integrate research care processes systems, better support community comment community curation these elements, linked semantics, metadata. CBIIT plans rebuild modernize services make easier discover consensus standards integrate elements linked data cancer research care workflows. intent to align NCI’s infrastructure emerging NIH, national, international metadata initiatives. Background CBIIT’s mission to provide advocate the appropriate of data science, informatics, information technology IT) support accelerate NCI Mission prevent cancer, treat cancer, improve cancer outcomes. important role the NCI Semantic Infrastructure SI) to support NCI research mission through community definition collection metadata. Data have well defined linked metadata improve use, interpretation, reuse data the extraction information knowledge these data. Supporting both human readable machine-readable definitions metadata been important driver the NCI Semantic Infrastructure. general metadata characteristics also among key principles data citation , are noted enable data access, verifiability discoverability. primary goals updating metadata services to: Simplify streamline community creation, curation, maintenance, discovery; Support content harmonization leveraging automated means identification overlapping content Support interoperability integration data elements, modules elements, semantics existing novel workflows; Support knowledge extraction. Information Requested stakeholders an interest improving cancer research through use well-described, discoverable, open descriptions data invited provide information. response mention membership affiliation within industry, government, academia. you choose, can identify area expertise by, not limited to, any the following: Metadata management services software; Formal community metadata standards, e.g., ISO/IEC 11179, Federal Government Open Data Metadata Schema, ISA-TAB, etc.; Semantics management, e.g., W3C semantic web technologies; Data Science bridging biomedical research health care. NCI seeking information includes is limited the following areas: Effective approaches, processes, capabilities augment/replace services currently available the caDSR; Identify requirement gaps provide related cases e.g., identification specific emerging fields technologies multiple existing metadata standards could benefit harmonization integration); Lessons learned existing metadata repository efforts, particularly examples field-tested processes infrastructure, examples failures metadata repository efforts; Common challenges metadata repository development interoperability e.g., methods community engagement, preventing redundant duplicate content, building interoperability related standards, supporting transformations between similar data); Simplifying use metadata computational human-based approaches support processes including data discovery, data analysis, data reuse; Effective approaches linking metadata data data catalogues e.g., use XML/JSON attributes link descriptive metadata associated the data). Submitting Response responses must submitted nbsp;SI_MDR_RFI@mail.nih.gov May 15, 2015. Please include Notice number the subject line. Response this RFI voluntary. Responders free address any all the categories listed above. submitted information be reviewed NIH staff. Submitted information be considered confidential. 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. Inquiries Please direct inquiries to: Denise Warzel National Cancer Institute NCI) Telephone: 301-480-6199 Email: warzeld@mail.nih.gov

data science, computational, informatics, bioinformatics, common data
Request for Information (RFI): Input on Development of Analysis Methods and Software for Big Data

NOT-HG-13-014

NHGRI

Aug 08 2013

N/A

Request Information RFI): Input Development Analysis Methods Software Big Data Notice Number: NOT-HG-13-014 Key Dates Release Date: August 8, 2013 Response Due Date: September 6, 2013 Issued National Human Genome Research Institute NHGRI) Purpose Request Information RFI) to solicit comments ideas the development analysis methods software tools, part the overall Big Data Knowledge BD2K) Initiative. Specifically, RFI solicits input needs software analysis methods related data compression/reduction, data visualization, data provenance, data wrangling. Background Biomedical research becoming data-intensive researchers generating using increasingly large, complex, diverse datasets. era Big Data' biomedical research taxes ability many researchers release, locate, analyze, interact these data associated software due the lack tools, accessibility, training.  response these new challenges biomedical research, in response the recommendations the Data Informatics Working Group DIWG) the Advisory Committee the NIH Director http://acd.od.nih.gov/diwg.htm), NIH launched trans-NIH Big Data Knowledge BD2K) Initiative www.bd2k.nih.gov). long-term goal the NIH BD2K Initiative to support advances data science, quantitative sciences, policy, training are needed the effective of Big Data biomedical research.  term biomedical" used here the broadest sense include biological, biomedical, behavioral, social, environmental, clinical studies relate understanding health disease).  term Big Data' refers datasets are increasingly larger, complex, which exceed abilities currently used approaches manage analyze.  Big Data" also meant capture opportunities address challenges facing biomedical researchers accessing, managing, analyzing integrating large datasets diverse data types.  Such data types include imaging, phenotypic, molecular including omics), clinical, environmental, behavioral, many types biological biomedical data.  Big Data" also includes data generated other purposes e.g. social media, search histories, cell phone data) they repurposed applied address health research questions.  Biomedical Big Data primarily emanate three sources: 1) small number groups produce very large amounts data, usually part projects specifically funded produce important resources use the research community large, large collections electronic health records; 2) individual investigators produce large datasets their own project, which might broadly useful the research community at-large; 3) even greater number investigators each produce small datasets whose value be amplified aggregating integrating with data. of DIWG recommendations to support development, implementation, evaluation, maintenance dissemination informatics methods applications. NIH supports wide range bioinformatics computational science through efforts such the Biomedical Science Technology Initiative funding opportunities through programs supported individual NIH institutes centers.  NIH now considering supporting development analytical methods software tools will focus initially four targeted areas begin address critical current emerging needs the research community using, managing, analyzing complex larger data sets: data compression/reduction, visualization, provenance, wrangling. NIH BD2K Working Group charged exploring development informatics methods tools seeks input the biomedical research communities the four targeted areas listed above ensure research resources generated have highest impact value the research community. NIH determined guidance needed broad scientific community the following areas: Data Compression/Reduction While data compression important BD2K since helps reduce resource usage, most compression techniques involve trade-offs among various factors, including degree compression, amount distortion induced the computational resources required compress decompress data. Data reduction aims more dramatically reduce data volume, in meantime reduce complexity/dimensionality data easier analysis. usually involves processing and/or reorganization data minimize redundancy, eliminate noise, preserve signal data integrity.  Data Visualization Data visualization permits researchers communicate information through graphical interactive means enables to explore gain insight/knowledge the data. challenge the Big Data era on interpreting complex, high-throughput data, especially the context other relevant, often orthogonal, data.  Data Provenance Provenance digital scientific data useful determining attribution, identifying relationships between objects, tracking back differences similar results, guaranteeing reliability the data, to allow researchers determine whether particular dataset be used their research providing lineage information the data). Data Wrangling Data wrangling a term is applied the conversion, formatting, mapping data enables researchers more easily submit data a database, expose data the internet, allows data be easily accessible shareable. Researchers generate datasets that, aggregate, become Big Data" often find difficult submit data, even standards well-established. Specialized informatics skills often needed, example, format data, apply metadata, fill gaps, ontologies, capture provenance, annotate features, apply functions reformat, manipulate, transform, process data. Information Requested maximize impact these valuable research resources tools informatics methods tools) facilitate use scientists a broad range expertise, seek input scientific informatics research user communities identifying prioritizing needs gaps the four focus areas outlined above. Submitting Response responses must submitted via email BD2KSoftware@mail.nih.gov Friday, September 6, 2013.  Please include Notice number the subject line. Response this RFI voluntary. Responders free address any all the categories listed above. submitted information be reviewed the NIH staff. request for information planning purposes only should be construed a solicitation as obligation the part the Federal Government. NIH does intend make any awards based responses this RFI to otherwise pay the preparation any information submitted for Government's of such information. NIH use information submitted response this RFI its discretion will provide comments any responder's submission. However, responses the RFI be reflected future funding opportunity announcements. information provided be analyzed may appear reports. Respondents advised the Government under obligation acknowledge receipt the information received provide feedback respondents respect any information submitted.  proprietary, classified, confidential, sensitive information should included your response. Government reserves right use any non-proprietary technical information any resultant solicitation(s). Inquiries Please direct inquiries to: Jennifer Couch, Ph.D National Cancer Institute Telephone: 240-276-6210 Email: Jennifer_Couch@nih.gov Website: http://bd2k.nih.gov/#sthash.i3bBBRHF.dpbs

data science, big data, computational, informatics, bioinformatics
Request for Information (RFI): Input on Development of a NIH Data Catalog

NOT-HG-13-011

NHGRI

Jun 06 2013

N/A

Request Information RFI): Input Development a NIH Data Catalog Notice Number: NOT-HG-13-011 Key Dates Release Date: June 6, 2013 Response Date: June 25, 2013 Issued National Human Genome Research Institute NHGRI) Purpose Request Information RFI) to solicit comments ideas the development implementation an NIH Data Catalog part the overall Big Data Knowledge BD2K) Initiative. Background Biomedical research becoming data-intensive researchers generating using increasingly large, complex, diverse datasets. era lsquo;Big Data’ biomedical research taxes ability many researchers release, locate, analyze, interact these data associated software due the lack tools, accessibility, training.  response these new challenges biomedical research, in response the recommendations the Data Informatics Working Group DIWG) the Advisory Committee the NIH Director(http://acd.od.nih.gov/diwg.htm), NIH launched trans-NIH Big Data Knowledge BD2K) Initiative. long-term goal the BD2K Initiative to support advances data science, quantitative sciences, policy, training are needed the effective of Big Data biomedical research.  term ldquo;biomedical” used here the broadest sense include biological, biomedical, behavioral, social, environmental, clinical studies relate understanding health disease).  term lsquo;Big Data’ refers datasets are increasingly larger, complex, which exceed abilities currently used approaches manage analyze.  ldquo;Big Data” also meant capture opportunities address challenges facing biomedical researchers accessing, managing, analyzing integrating large datasets diverse data types.  Such data types include imaging, phenotypic, molecular including omics), clinical, environmental, behavioral, many types biological biomedical data.  ldquo;Big Data” also includes data generated other purposes e.g. social media, search histories, cell phone data) they repurposed applied address health research questions.  Biomedical Big Data primarily emanate three sources: 1) small number groups produce very large amounts data, usually part projects specifically funded produce important resources use the research community large, large collections electronic health records; 2) individual investigators produce large datasets their own project, which might broadly useful the research community at-large; 3) even greater number investigators each produce small datasets whose value be amplified aggregating integrating with data. of DIWG recommendations to promote data sharing through establishment central federated Data Catalogs. Among issues raised how establish minimal relevant metadata facilitate data sharing, broad adoption standards enhance data retrieval, well data citation adoption the catalog the broader biomedical community. BD2K now considering development a biomedical Data Catalog make biomedical research data findable citable, PubMed does scientific publications.  Such Data Catalog make easier researchers find, share, cite data, well the publications grants they associated with. Data Catalog distinct a data repository, would help data such repositories easily findable citable a consistent manner. addition supplying core, minimal metadata ensure valid data reference, is envisioned a Data Catalog include links to location the data, the NIH Reporter record the grant supported research, relevant publications within PubMed journals, possibly associated software algorithms. NIH BD2K Working Group charged exploring concept a Data Catalog determined it be important query broad mix Data Catalog designers, stakeholders, potential users their experiences advice the NIH it considers development a Data Catalog. order better appreciate issues need be addressed the possible solutions could lead implementation a Data Catalog, NIH thus seeks input the broader research communities.  Establishing such Data Catalog also part NIH’s response the White House Office Science Technology Policy February 2013 memorandum, ldquo;Increasing Access the Results Federally Funded Scientific Research.” Information Requested maximize impact this potentially valuable community resource facilitate use scientists a broad range expertise, seek input a proposal develop Biomedical Data Catalog.  comments include are limited the following categories: area expertise interest a Data Catalog. may include, biomedical researcher, informatics professional, library sciences expert, publisher, professional society, participation another stakeholder community. critical barriers, opportunities, incentives making data easily discoverable citable, the possible impact a Data Catalog. Possible Data Catalog linkage existing data repositories ensure data within repository findable how ensure such linkages remain to date accurate. your research field no existing repositories store data, comments include a Data Catalog might usefully link to data where such data might located. the lack a data repository might affect data discoverability, usability, citability. useful level granularity a Data Catalog entry.  instance, Data Catalog entry correspond all data a publication, only particular data type within given study, individual dataset a single experiment. Any potential requirements Data Catalog registration data NIH-funded supported investigators. Whether Data Catalog entry benefits a scientific abstract describes data, including potential uses the rationale its creation. feasibility the development a Data Catalog potentially support future uses. appropriate metrics use create successful Data Catalog. Submitting Response responses must submitted via email data-catalog@mail.nih.gov June 25, 2013.  Please include Notice number NOT-HG--13-011 the subject line. Response this RFI voluntary. Responders free address any all the categories listed above. submitted information be reviewed the NIH staff. request for information planning purposes only should be construed a solicitation as obligation the part the Federal Government. NIH does intend make any awards based responses this RFI to otherwise pay the preparation any information submitted for Government's of such information. NIH use information submitted response this RFI its discretion will provide comments any responder’s submission. However, responses the RFI be reflected future funding opportunity announcements. information provided be analyzed may appear reports. Respondents advised the Government under obligation acknowledge receipt the information received provide feedback respondents respect any information submitted.  proprietary, classified, confidential, sensitive information should included your response. Government reserves right use any non-proprietary technical information any resultant solicitation(s). Inquiries Please direct inquiries to: Jennie Larkin, Ph.D. National Heart Lung Blood institute National Institutes Health 6701 Rockledge Dr. Rockledge II, room 8200 Bethesda, MD 20892-7940 Telephone: 301) 435-0513 Email: LarkinJ2@nhlbi.nih.gov

data science, big data, informatics
Request for Information (RFI): Data Annotation in Biomedical Core Research Facilities and Related Needs for Community Education and Training

NOT-OD-16-091

ORIP

May 17 2016

N/A

Request Information RFI): Data Annotation Biomedical Core Research Facilities Related Needs Community Education Training Notice Number: NOT-OD-16-091 Key Dates Release Date: 17, 2016 Response Date: June 30, 2016 Related Announcements None Issued National Institute General Medical Sciences NIGMS) National Library Medicine NLM) Division Program Coordination, Planning Strategic Initiatives, Office Research Infrastructure Programs ORIP) Purpose Notice solicits feedback stakeholders operate use university core research facilities research centers provide specialized services generate, manage analyze high-throughput data biomedical research. issuing components recognize there multiple contributors involved creating, describing, handling high-throughput biomedical data is interested learning their practices related these activities. Background Biomedical core facilities provide access state-of-the-art instrumentation services a variety research areas, such genomics, transcriptomics, proteomics, metabolomics, cell biology, neuroscience, bioimaging. core facilities rely technologies including sequencing, electron microscopy, NMR, mass spectroscopy, flow cytometry, optical imaging, MRI, CT, others. core research facilities a crucial role ensuring high-quality, high-throughput research data generated. foster sharing future re-use the data supporting data annotation essential descriptive information: metadata. Metadata terms describe qualities a data set such file size date created) provide essential information helps others find understand scope a data set such topical keywords digital identifiers). Metadata vital the digital research enterprise they enable reproducible research simultaneously support effective data sharing. High-quality metadata also help ensure the research projects meet NIH’s goals rigor reproducibility https://www.nih.gov/research-training/rigor-reproducibility). nbsp; order more fully capitalize the wealth information contained biomedical high-throughput data, NIH launched Big Data Knowledge BD2K, https://datascience.nih.gov) initiative. BD2K aims develop new approaches, standards, methods, tools, software, competencies will enhance use biomedical Big Data supporting research, implementation, training data science other relevant fields. addressing goal, important aspect to biomedical research data resources maximally shareable reusable. connection this initiative, NIH interested learning the cores’ practices production high-quality, high-throughput data their annotation high-quality metadata. NIH interested understanding role(s) academic researchers, staff scientists the university core research facilities, other university staff such librarians IT specialists play creating essential metadata associated the data are generated. NIH interested the roles different groups in helping document features the data, processes used decide appropriate metadata, techniques used ensure the metadata robust complete, and sources standards best practices guide creation metadata datasets generated a core research facility. nbsp; Information Requested NIH invites university research communities engaged and supporting biomedical investigations comment practices related the generation handling high-throughput data. Any comments be helpful may include are limited the following areas: 1. Core research facility research center its services a) Type technical data service(s) research core/center provides; b) Current practices documenting generation high-throughput data describing output the data itself. 2. Metadata associated the data generated the research core/center a) extent which metadata related data sets generated the research core/center documented stored the records the facility; b) nature metadata developed the core/center accompany data generated, such operating system, level specificity, terminology used, other factors; c) way metadata related a data set transmitted the investigators requested data. 3. Institutional partnerships Currently existing institutional partnerships provide support training effective data generation, annotation, sharing. Partners include institutional computer/IT support, library expertise, others. 4. Approaches learn skills concepts Approaches which staff scientists others involved generating managing data set learn skills concepts relating data generation, annotation, curation, sharing. 5. Unmet needs Any unmet needs relating the development retention metadata research data sets generated core research centers, including needs training, development standards, implementing best practices supporting institutional partnerships assist effective data sharing. 6. comments Additional comments data annotation biomedical core research facilities related needs community education training. Please identify expertise area interest, example: a) Manager or staff a biomedical core facility; b) Biomedical researcher; c) Expert data management, data evaluation data curation; d) Other. to Submit Response Response this RFI must submitted the website https://dpcpsi.nih.gov/MetadataRFI June 30, 2016. Responses this RFI voluntary. RFI for planning purposes only should be construed a solicitation applications an obligation the part the Federal Government, National Institutes Health, individual NIH Institutes Centers.  government not pay the preparation any information submitted for government’s of information. information provided not considered confidential. NIH use information submitted response this RFI its discretion; submitted information be reviewed the NIH shared the NIH Institutes Centers have interest this matter. NIH not acknowledge receipt information submitted provide comments any responder. proprietary, classified, confidential, sensitive information should included your response. government reserves right use any non-proprietary technical information any resultant solicitation(s), policies procedures; responses the RFI be reflected future funding opportunity announcements. information provided be analyzed, appear reports, may shared publicly an NIH website. Inquiries Please direct inquiries to: Alena Horska, Ph.D. Office Research Infrastructure Programs ORIP) Telephone: 301-435-0815 Email: ORIP-RFI-METADATA@nih.gov

data science, big data

Pages

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