Research Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on September 14, 2018

Feed last updated: April 24 2019 2:15 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
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
Request for Information (RFI): Strategic Plan for the National Library of Medicine, National Institutes of Health

NOT-LM-17-002

NLM

Nov 08 2016

N/A

Request Information RFI): Strategic Plan the National Library Medicine, National Institutes Health Notice Number: NOT-LM-17-002 Key Dates Release Date: November 8, 2016 Response Date : New Date - January 23, 2017 per issuance NOT-LM-17-003 Related Announcements NOT-LM-17-003   Issued National Library Medicine NLM) Purpose National Library Medicine undertaking Strategic Planning Process is soliciting input its broad stakeholder community.   recognize many our stakeholders generously replied the 2015 RFI regarding future directions NLM.  Input provided 2015 already under consideration need be re-submitted.  2015 RFI issued NIH behalf the NLM Working Group the Advisory Committee the NIH Director ACD) obtain input their June 2015 report http://acd.od.nih.gov/reports/Report-NLM-06112015-ACD.pdf) a vision the future NLM the context NLM’s leadership transition emerging NIH data science priorities.  current RFI issued obtain public input goals priorities NLM’s next strategic plan. Background defined statute, purpose the NLM to assist advancement medical related sciences to aid dissemination exchange scientific other information important the progress medicine to public health.” the world’s largest biomedical library, NLM presents highly visible face NIH across United States around globe. Through information systems, biomedical informatics data science research portfolio, extensive training programs, many partnerships, NLM plays essential role furthering fundamental research; catalyzing supporting translation basic science new treatments, products, improved practice; providing useful decision support health professionals, public health emergency response workforce, patients. the ten years since development the NLM’s last long range plan, have significant advances biomedical informatics; major new initiatives the NIH data science, precision medicine, open access biomedical information; changes the environment infrastructure our country’s health systems.  NLM committed building data infrastructure will support future biomedical research. Planning Themes we undertake strategic planning process, NLM be considering priorities future directions around following four themes: 1)  Role NLM advancing data science, open science, biomedical informatics NLM serves the organizational leader a major sponsor research, development, training workforce development data science, information science, biomedical informatics, health sciences librarianship, of facilitate open science. Understanding trends data management, curation, knowledge representation, analysis technologies, communications infrastructure, the semantics importance new classes health-relevant data be essential the institution’s success these areas the future. 2)  Role NLM advancing biomedical discovery translational science NLM a global resource supports catalyzes health-related scientific discovery effective translation new knowledge practice.  Integrated retrieval analysis tools provide linkages promote discovery across wide variety databases containing biomedical literature, genomic information, other scientific clinical data. Novel translational resources such ClinicalTrials.gov accelerate accrual clinical research studies promote scientific integrity via publication study designs research results.  Researcher access new classes data, such electronic health records, supporting discovery science.  Both curiosity-driven translational science expected continue evolve rapidly over coming decade. 3)  Role NLM supporting public’s health: clinical systems, public health systems services, personal health NLM’s mission includes providing information promote health reduce burden suffering disease worldwide.  Healthcare organizations undergoing dramatic changes response the need demonstrate value, safety, effectiveness. its initiatives distribute promote adoption health data standards, NLM been influential enabling interoperability clinical systems meaningful of electronic health records. Factors such behavioral lifestyle characteristics, environmental exposures, biomarkers immune status becoming important.  New technologies communication tools enabling individuals reach goals health promotion disease prevention.  Novel validated models decision support demanded the expanded complexity knowledge all disciplines human health disease. 4)  Role NLM building collections support discovery health the 21st century NLM the world’s largest collection published biomedical literature, many items are unavailable anywhere else.  NLM collections already extend far beyond traditional publications, whether physical digital format, include unpublished manuscripts, images, video, sound recordings, web pages, and, especially, databases containing wide variety enormous quantities digital data. nature scholarly publication scientific discovery continue evolve rapidly, implications what data information NLM should collect the methods be used acquire, archive, disseminate new data, information knowledge relevant human health disease. Information Requested each the four themes described above data open science, discovery translational science, public’s health, collections), invite input the most audacious goals the most compelling questions could potentially drive innovation research information systems the next decade beyond. are seeking input our research community users our information services analysis tools what can imagine the greatest achievements biomedical informatics research biomedical information access use over next 10 years. seek input we endeavor push boundaries information science biomedical informatics, identify knowledge gaps, develop scientific expertise needed bridge them. Within four planning themes, invite comments the following areas.  1)  Identify you consider audacious goal your area interest – challenge may daunting would represent huge leap forward it be achieved.  Include input the barriers and benefits achieving goal. 2)  most important thing NLM does this area, your perspective. 3)  Research areas are most critical NLM conduct support. 4)  Healthcare systems public health arenas which NLM participation most critical. 5)  New data types data collections anticipated over next 10 years. 6)   comments, suggestions, considerations, keeping mind the aim to build NLM the future. to Submit Response respond this RFI, please to submission website. ensure consideration, responses must submitted January 9, 2017. do require to provide name the response. Responses this RFI voluntary. RFI for planning purposes only should be construed a solicitation an obligation the part the Federal Government, National Institutes Health, individual NIH Institutes Centers. NIH does intend make any type award based responses this RFI to pay either preparation information submitted the 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 shared publicly 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: Office Health Information Programs Development National Library Medicine NLM) Telephone:  301-496-2311 Email relevant this RFI: NLMStrategicPlan@nih.gov

data science, informatics
Request for Information (RFI): Second Draft Specification for Conformant Cloud Providers

NOT-LM-16-002

NLM

Dec 22 2015

N/A

Request Information RFI): Second Draft Specification Conformant Cloud Providers Notice Number: NOT-LM-16-002 Key Dates Release Date:   December 22, 2015 Response Date: January 22, 2016 Related Announcements None Issued National Library Medicine NLM) Purpose National Institutes Health NIH) funds basic applied research the biomedical health sciences, generating large amounts new research data every year. the scope scale research data increased, standard mechanisms which data found shared indexes, web portals, journal articles, scientific conferences, direct transmission data via electronic networks, name few) insufficient. Further, federal policies require data generated federal support shared, making broadly accessible, easily computable readily sharable. part its efforts resolve problem, NIH developing Commons1, shared, virtual space sharing data, software, digital learning resources, workflows other products research. Commons help ensure the digital artifacts publicly funded research Findable, Accessible, Interoperable Reusable FAIR). NIH supporting implementation the Commons concept via variety pilot activities within NIH Big Data Knowledge BD2K) program.  Computational infrastructure the Commons initially envisioned employing cloud computing services. ldquo;conformant provider” cloud services the Commons offer array options, such Infrastructure a Service IaaS), Platform a Service PaaS) Software a Service SaaS). conformant provider one meets NIH defined requirements business relationships, interfaces, capacity, networking connectivity, information assurance authentication authorization. Dec 23, 2014, NIH released Sources Sought Notice2, SS-NIHCOMMONS-2015, FedBizOps, requesting information an initial set proposed conformance requirements. Comments received the initial requirements revised.  NIH now requesting comments the revised version the conformance requirements, prior identifying conformant providers.     NIH intends finalize requirements based industry scientific feedback during January 2016, to open process providers cloud compute services become conformant soon practicable after requirements finalized. Although details the conformance certification process not finalized, NIH intends utilize reviewed self-certification process during pilot phase. Information Requested NIH requests input two major areas: 1. NIH wishes obtain feedback potential providers a) ability meet proposed conformance requirements, b) interest acting providers c) any requirement deemed the provider be sufficiently burdensome it prevent potential provider participating. 2. NIH wishes obtain feedback potential users conformant cloud services, is, the research community, to a) whether services described the proposed conformance requirements meet needs, b) additional capabilities required, types capabilities be necessary meet general requirements scientific computing c) barriers researchers experienced using cloud services host data sets. NIH particularly interested responses those already cloud services store data make widely available draft conformance requirements posted at: https://datascience.nih.gov/commons/technical_conformance.pdf. to Submit Response Responses this RFI must submitted electronically conformance_requirements@nih.gov later 30 days after publication this RFI. Responses this RFI voluntary. RFI for planning purposes only should be construed a solicitation as obligation the part the Federal Government, National Institutes Health, individual NIH institutes Centers. NIH does intend make any type award based responses this RFI to pay either preparation information submitted the Government’s of such information. NIH use information submitted response the RFI its discretion. Respondents advised the Government under obligation acknowledge receipt the information provided will provide feedback respondents. information submitted be analyzed may shared internally, incorporated future changes the NIH cloud conformance requirements, appropriate at Government’s discretion. Proprietary, classified, confidential, sensitive information should be included your response. Inquiries Please direct inquiries to: George A. Komatsoulis, Ph.D. National Library Medicine NLM) Telephone:  301-594-7875 Email:  komatsog@mail.nih.gov Vivien Bonazzi, Ph.D. Office the NIH Associate Director Data Science ADDS) Telephone:  301-451-8276 Email:  bonazziv@mail.nih.gov 1https://datascience.nih.gov/commons 2https://www.fbo.gov/index?s=opportunity&mode=form&id=09c44aa4c0877c150e7...

data science, big data, computational
Request for Information (RFI): Input on Sustaining Biomedical Data Repositories

NOT-ES-15-011

NIEHS

Feb 18 2015

N/A

Request Information RFI): Input Sustaining Biomedical Data Repositories Notice Number: NOT-ES-15-011 Key Dates Release Date:     February 18, 2015 Response Date:  March 18, 2015 Related Announcements None Issued National Institute Environmental Health Sciences NIEHS) National Cancer Institute NCI) National Human Genome Research Institute NHGRI) National Institute Allergy Infectious Diseases NIAID) National Institute Drug Abuse NIDA) National Institute General Medical Sciences NIGMS) Office Strategic Coordination Common Fund) Purpose Request Information RFI) to solicit comments ideas economic, technical, policy administrative approaches toward enhancing long-term sustainability biomedical data repositories. Background ability harvest wealth information contained biomedical Big Data” the potential advance our understanding human health disease; however, enormity Big Data creates major organizational analytical impediments accelerating pace scientific discovery. biomedical datasets become increasingly large, diverse, complex, tax conventional methods sharing, managing, analyzing data. Furthermore, researchers’ abilities capitalize biomedical Big Data science-based approaches limited poor data accessibility interoperability, lack appropriate tools, insufficient training. response the opportunities challenges presented the dawning era Big Data biomedical research, NIH launched Big Data Knowledge BD2K) initiative a trans-NIH initiative cultivate digital research enterprise within biomedicine, facilitate discovery support new knowledge, to maximize community engagement. Biomedical research an increasingly data intensive enterprise due part the rapid advance many life science technologies. data enterprise created multitude repositories, are growing both scale complexity, the preservation distribution data across scientific community. challenge the scientific community to develop effective means sustaining biomedical data repositories knowledge therein.   growing datasets flat research budgets around world, challenge sustaining repositories straining capacity current funding approaches fulfill need.  is essential develop new, innovative business models.  addition, NIH considering repositories be integrated within larger biomedical digital research enterprise as accelerate our capability find, access, reuse, interoperate information across diverse data types.  address challenges, BD2K seeks information approaches, business models, ideas will inform NIH improving value current mechanisms developing new mechanisms sustain biomedical data repositories a long-term basis; developing strategies, technologies business models accommodate rapidly evolving, interdisciplinary research needs requiring access multiple data types a variety resources. Information Requested stakeholders an interest strategies address sustainability biomedical data repositories invited provide information. you choose, can categorize area expertise including that apply: Biomedical science researcher Bioinformatician Data scientist Standard developer maintainer Research data repository manager Library information scientist Data curator Professional society officer Funder Publisher Administrator president, provost, dean equivalents academic non-profit organizations) Non-profit employee Tool services vendor Biotech company employee Business developer Economist other financial expert Your response also include detailed roles within industry, government, academia the history experiences relevant repositories. NIH seeking information addresses, is limited to, following areas: Financial Models – New business models sustaining digital repositories, including not limited examples cited http://datacommunity.icpsr.umich.edu/sites/default/files/WhitePaper_ICPS... http://www.sr.ithaka.org/research-publications/guide-best-revenue-models....  Innovation – Sustaining data repositories while enabling new innovations finding, accessing, integrating and reusing contents a wide variety stakeholders. Evaluation  - Criteria determine data repositories require sustained funding models no longer need be sustained, including, not limited metrics measuring value given repositories data within those repositories. Best Practices - Current, new, emerging means practices sustain data repositories the long-term. Partnerships - type, form, governance partnerships ensure long-term access essential data repositories including, not limited to, private-sector organizations, non-profit foundations, universities, national international government agencies, combinations thereof. Technical – Technological developments needed sustain data repositories a cost-effective while furthering accessibility usability a broad set stakeholders. Human Capital – Models enhance efficiency the application human capital associated data repositories. Life Cycle – Consideration the evolution value, cost, scale data repositories emerge, reach maturity, either gain lose relevance the long term. Submitting Response responses must submitted BD2K_Sustainability_RFI@niehs.nih.gov March 18, 2015. Please include Notice number NOT-ES-15-011 the subject line. Responders free address any all the categories listed above. submitted information be reviewed NIH staff. 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. NIH does intend make any awards based responses this RFI to otherwise pay 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. Inquiries Please direct inquiries to: Allen Dearry, Ph.D. National Institute Environmental Health Sciences NIEHS) Telephone: 919-541-3068 Email: dearry@niehs.nih.gov

data science, big data
Request for Information (RFI) soliciting input into the deliberations of the Advisory Committee to the NIH Director (ACD) Working Group on the Nationa

NOT-OD-15-067

NIH

Feb 13 2015

N/A

Request Information RFI) Soliciting Input the Deliberations the Advisory Committee the NIH Director ACD) Working Group the National Library Medicine NLM) Notice Number: NOT-OD-15-067 Key Dates Release Date: February 13, 2015 Related Announcements None Issued National Institutes Health NIH) Purpose Notice a time-sensitive Request Information RFI) soliciting input the deliberations the Advisory Committee the NIH Director ACD) Working Group the National Library Medicine NLM). Background defined statute, NLM established ldquo;assist advancement medical related sciences to aid dissemination exchange scientific other information important the progress medicine to public health.” world’s largest biomedical library, NLM maintains makes available vast multimedia collection published literature, organizational archives manuscripts, still moving images; builds provides electronic information resources used billions times year millions scientists, health professionals, members the public; supports conducts research, development, training biomedical informatics, data information science, health information technology; coordinates 6,100-member National Network Libraries Medicine promotes provides access health information communities across United States. pursuit its mission, NLM achieved successes, such pioneering free Internet access PubMed, access genetic genomic data through GenBank, clinical trial registration results through clinicaltrials.gov, NIH-funded biomedical research part the NIH Public Access Policy, supporting research training programs institutions throughout country. full scope activities the NLM be found http://www.nlm.nih.gov/. Ultimately, creation maintenance these resources help support enable access the results research funded NIH many organizations. NIH committed ensuring the NLM continues leverage technological advances information data science facilitate scientific breakthroughs understanding health disease scientists, health professionals, the public. order help chart course the future the NLM, NIH Director established working group charged 1) reviewing current mission, organization, programmatic priorities the NLM; 2) articulating strategic vision the NLM ensure it remains international leader biomedical health information. addressing charge, working group to assess specifically the NLM should: Continue meet biomedical community’s rapidly evolving scientific technological needs; Lead development adoption information technologies; Facilitate collection, storage, use biomedical  data the biomedical health research communities; Continue lead promoting open access models biomedical data scientific literature; Balance computational methods human-based approaches indexing; Maximize utilization cost-efficiency the NLM’s National Network Libraries Medicine; Maximize usefulness the NLM’s outreach exhibits programs the context future opportunities; Interface effectively the broader expanding NIH efforts data science; Directly contribute addressing major data science challenges facing biomedical research enterprise. part the working group’s deliberations, NIH seeking input stakeholders the general public through RFI. Information Requested Request Information RFI) seeks input regarding strategic vision the NLM ensure it remains international leader biomedical data health information. particular, comments being sought regarding current value and future need NLM programs, resources, research training efforts, services e.g., databases, software, collections) – collectively referred in RFI hereafter ldquo;NLM elements”. comments include are limited the following topics: Current NLM elements are the most, least, value the research community including biomedical, clinical, behavioral, health services, public health, historical researchers) future capabilities will needed support evolving scientific technological activities needs. Current NLM elements are the most, least, value health professionals e.g., those working health care, emergency response, toxicology, environmental health, public health) future capabilities will needed enable health professionals integrate data knowledge biomedical research effective practice. Current NLM elements are most, least, value patients the public including students, teachers, the media) future capabilities will needed ensure trusted source rapid dissemination health knowledge the public domain. Current NLM elements are most, least, value other libraries, publishers, organizations, companies, individuals use NLM data, software tools, systems developing providing value-added complementary services products future capabilities would facilitate development products services make of NLM resources. NLM be better positioned help address broader growing challenges associated with: Biomedical informatics, ldquo;big data”, data science; Electronic health records; Digital publications; Other emerging challenges/elements warranting special consideration. to Submit Response Responses this RFI must submitted electronically via: http://grants.nih.gov/grants/rfi/rfi.cfm?ID=41. Responses be accepted through March 13, 2015. 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. The 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). The 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. No 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 Lyric Jorgenson, Ph.D. Office the Deputy Director Science, Outreach, Policy Telephone: 301-496-1455 Email: jorgensonla@od.nih.gov

data science, big data, computational, informatics

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