Research and Training Funding

Funding Opportunity Announcements

Browse below for Data Science Funding Opportunity Announcements.

This page last reviewed on August 7, 2019

Feed last updated: September 25 2020 10:41 pm
Title FOA Number Organization Release Date Expiration Date Purpose Search Terms
Request for Information (RFI): Making Data Usable--A Framework for Community-Based Data and Metadata Standards Efforts for NIH-relevant Research NOT-ES-15-002 NIEHS Nov 06 2014 N/A Request Information RFI): Making Data Usable--A Framework Community-Based Data Metadata Standards Efforts NIH-relevant Research Notice Number: NOT-ES-15-002 Key Dates Release Date: November 5, 2014 Response Date: December 5, 2014 Related Announcements None Issued National Institute Environmental Health Sciences NIEHS) National Cancer Institute NCI) National Institute Aging NIA) National Institute Allergy Infectious Diseases NIAID) National Institute Biomedical Imaging Bioengineering NIBIB) Eunice Kennedy Shriver National Institute Child Health Human Development NICHD) National Institute Deafness Other Communication Disorders NIDCD) National Institute Mental Health NIMH) National Institute Neurological Disorders Stroke NINDS) National Institute Nursing Research NINR) National Library Medicine NLM) National Center Complementary Alternative Medicine NCCAM) National Center Advancing Translational Sciences NCATS) Office Strategic Coordination Common Fund) Purpose mission the NIH Big Data Knowledge BD2K) initiative to enable biomedical scientists capitalize fully the Big Data being generated those research communities. BD2K aims develop new approaches, standards, methods, tools, software, competencies will enhance use biomedical Big Data1 supporting research, implementation, training data science other relevant fields. addressing goal, important aspect to biomedical research data resources maximally shareable reusable. this reason, BD2K formulating approaches encourage development facilitate use data-related including metadata) standards broadly across biomedical research community is, therefore, interested the issues involved developing community-based standards. Request Information RFI) solicits comments ideas related how community standards activities initiated, developed, disseminated, sustained any role NIH might play helping catalyze such efforts. Background Community-based data metadata standards been generated many levels across biomedical research community, small research consortia multinational enterprises facilitate comparison integration data different sources, accelerate collaboration, to enable broad sharing reuse data. Examples include grass-roots efforts such the Gene Ontology GO) more heavily organized efforts such Logical Observation Identifiers Names Codes LOINC), the Digital Imaging Communication Medicine DICOM) standard radiological image transfer. Any such effort must only address specific but, also, set common issues, latter including not necessarily limited to) definition mission scope, governance operational procedures, such processes creating, publishing maintaining standards make useful widely accepted. Different groups employed range strategies variable degrees complexity, formality documentation carry their activities support community-based standards development. opportunities value secondary uses data increasing, i.e., scientists are those originally generated data increasingly able extract new knowledge them. Researchers combine existing data sets across studies integrate different complex data types address questions unanticipated the original investigator(s). ability do is highly affected the extent quality the annotation the original data sets. evidence suggests without appropriate data metadata standards, meaningful data sharing the promise new knowledge created those data, not possible2 Thus, widespread of high quality data metadata standards, part a larger effort promote data access reuse, essential NIH to fully capitalize the explosion biomedical Big Data advancing fundamental knowledge complex human biology its translation human health. NIH recognizes are already numerous standards groups, both public private, across scientific disciplines. of have developed proven processes, infrastructure, community support methodologies. NIH interested exploring the BD2K initiative contribute the improvement policies, governance, administrative procedures, funding support community-based standards CBS) efforts develop and/or extend data and/or metadata standards, how activities relate other ongoing nascent biomedical research activities. Within context, lsquo;community’ encompasses broad range stakeholders may engaged the process data standards development use, including technical developers, librarians, science domain experts, researchers, information scientists, vendors, funders, publishers, other end users. Information Requested stakeholders an interest CBS invited provide information. response include, is limited to, membership within industry, government, academia. you choose, can categorize area expertise including that apply: Standards Efforts Data Management Clinical Science Basic Science Research Information Science e.g., biomedical informatics) Publishing Library Science Funding End-user NIH seeking information include, not limited to, following areas: Effective approaches, processes, activities could advance community-based standards landscape e.g., creating collaborative workspace an advising structure toward standards development, extension, adoption). Gaps community-based data standards relevance biomedical research, including real use-cases e.g., emerging fields technologies, research domains multiple existing data standards could benefit additional work, integration and/or reconciliation). Lessons learned existing CBS efforts, particularly examples field-tested processes infrastructure known examples failures CBS efforts. Common challenges CBS development e.g., methods community engagement building interoperability other related standards). Considerations evaluating progress milestones assess data standards development utility. Effective approaches addressing need sustain useful standards, to update existing standards a field develops. Submitting Response responses must submitted BD2K_CBS_RFI@niehs.nih.gov December 5, 2014. Please include Notice number NOT-ES-15-002 the subject line. Response this RFI voluntary. Responders free address any all the categories listed above. submitted information be reviewed the NIH staff. Submitted information be considered confidential. Responses this RFI voluntary. Please not include any proprietary, classified, confidential, sensitive information your response. NIH use information submitted response this RFI its discretion will provide comments any responder's submission. collected information be reviewed NIH staff, appear reports, may shared publicly an NIH website. Government reserves right use any non-proprietary technical information summaries the state the science, any resultant solicitation(s). NIH use information gathered this RFI inform development future funding opportunity announcements. RFI for information planning purposes only should be construed a solicitation as obligation the part the Federal Government, National Institutes Health NIH), individual NIH Institutes Centers. basis claims against U.S. Government shall arise a result a response this request information from Government’s of such information. 1 term Big Data' meant capture opportunities challenges facing biomedical researchers accessing, managing, analyzing, integrating datasets diverse data types e.g., imaging, phenotypic, molecular including various '–omics'), exposure, health, behavioral, the other types biological biomedical behavioral data] are increasingly larger, diverse, more complex, that exceed abilities currently used approaches manage analyze effectively. Big Data emanate three sources: 1) small number groups produce very large amounts data, usually part projects specifically funded produce important resources use the entire research community; 2) individual investigators produce large datasets, often empowered the of readily available new technologies; 3) even greater number sources each produce small datasets e.g. research data clinical data electronic health records) whose value be amplified aggregating integrating with data. http://bd2k.nih.gov/about_bd2k.html#sthash.IF3zQOrz.dpbs. 2 the report the Data Informatics Working Group the Advisory Committee the Director, NIH ACD), available at: http://acd.od.nih.gov/Data%20and%20Informatics%20Working%20Group%20Repor.... Inquiries Please direct inquiries to: Cindy P. Lawler, Ph.D. National Institute Environmental Health Sciences NIEHS) Telephone: 919-316-4671 Email: Lawler@niehs.nih.gov data science, big data, informatics, data standards
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, data standards
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): Evolving the National Network of Libraries of Medicine (UG4) NOT-LM-19-005 NLM Oct 01 2019 N/A Request Information RFI): Evolving National Network Libraries Medicine UG4) Notice Number: NOT-LM-19-005 Key Dates Release Date: October 1, 2019 Response Date: December 02, 2019 Related Announcements None Issued National Library Medicine NLM) Purpose The National Network Libraries Medicine (NNLM) seeks new ideas help improve access health information help inform design the NNLM request applications the 2021-2026 project period. NNLM managed the National Library Medicine. Request Information RFI) offers health sciences public libraries, health professionals, public health workers, community organizations, the public opportunity provide information how NNLM best provide U.S. health professionals better access biomedical information improve public’s access trusted health information. A fact sheet summarizing NNLM program available. Background NNLM a key partner helping NLM achieve vision outlined the NLM Strategic Plan 2017-2027 “to reach people more ways through enhanced dissemination engagement pathways.” addition, NLM seeks enhance research, development, training, information services make biomedical data findable, accessible, interoperable, reusable FAIR), invent tools services turn data information knowledge insight, to develop workforce this work. Implementing vision require new partnerships ways engage stakeholders the public private sectors, including researchers, librarians, health professionals, entrepreneurs innovators, underserved communities, the public. Through its products services, NLM supports researchers, health care providers, librarians, members the public seek current trusted biomedical information data. NLM’s databases, tools, services, including PubMed, MedlinePlus, ClinicalTrials.gov, Hazardous Substances Data Bank, Genetics Home Reference, database Genotypes Phenotypes, Unified Medical Language System--cover health, genetics, drugs, chemicals, many topics. Effective community engagement critical assuring NLM resources reach wide range audiences — librarians researchers clinicians, teenagers their parents seniors, policymakers the public. Engagement encompasses promoting awareness available information resources, developing understanding users’ information needs, facilitating access ensuring ability use information resources. NLM continue leverage 7,500+ member organizations the NNLM, act trusted ambassadors between NLM the communities serve. NLM also partners the NNLM enable new generation data-ready librarians informationists transform libraries hubs data literacy. Medical Library Assistance Act 1965 MLAA, P.L. 89-291) established NNLM assist development medical libraries’ services to facilitate dissemination use information related health sciences. Over time, growing emphasis been placed increasing impact the NNLM through partnerships NLM member organizations, including health sciences, hospital, academic, public libraries, well health professionals, data organizations, community-based organizations. NNLM coordinated the NLM Office Engagement Training, working through National Network Steering Committee. See The Nation's Health Information Network: History the Regional Medical Library Program, 1965-1985, and an historical overview the National Network Libraries Medicine, 1985-2015 for information. NNLM provides convenient access biomedical health information resources U.S. health professionals, researchers, educators, the public. a core component NLM outreach, NNLM seeks reduce health disparities improve health information literacy, providing funding, professional development, learning opportunities NNLM members. NNLM comprises eight Regional Medical Libraries funded via 5-year competitive cooperative agreements. Regional Medical Libraries engage 7,500+ members a map more information each region its members/partners, see NNLM Regions). Five national offices provide professional services support NNLM achieving national initiatives, well serve regional needs: NNLM DOCLINE Coordination Office, NNLM Web Services Office, NNLM Training Office, NNLM Evaluation Office, the NNLM Public Health Coordination Office. current structure enabled NNLM launch several national initiatives, including focus data science a series new enhanced partnerships the NIH All Us Research Program, NLM HIV/AIDS Community Information Outreach Program ACIOP), public libraries public library associations. the first partnerships, new NNLM centers been created: the NNLM All Us Community Engagement Network, the All Us Training & Education Center, the NNLM ACIOP Coordinating Center. Information Requested NLM seeks input current potential user communities maximize effectiveness efficiency the NNLM. We’re interested your responses the following topics other suggestions. Priorities, Strategies, Partnerships Priorities NNLM should address. Consider themes related the NLM Strategic Plan 2017-2027. Strategies reach new existing audiences effectively, especially minority underserved populations. Effective ways partner libraries, health organizations, community organizations reach health professionals, researchers, the public. top three health information outreach priorities your organization the next five years. Important new partnership opportunities the NNLM. Outreach Programs, Engagement, Training New outreach roles outreach opportunities barriers the NNLM. NNLM programs, activities, other components are less significance and/or might considered elimination. Strategies support staff NNLM member organizations their knowledge ability support NLM products services. Types NNLM engagement activities promote NLM’s wide array offerings all audiences. Contribution resource sharing the NNLM’s mission promote access biomedical or health information. Membership, NNNLM Structure, Service Coordination Responsibilities benefits NNLM membership. Types organizations could potential members the NNLM. Structure the NNLM steering committee, currently consists leaders the Regional Medical Libraries, national offices, NNLM centers, NLM. geographical configuration the NNLM. A tool map are available help develop submit suggestions. Services the NNLM could coordinated nationally. Services are best coordinated a local regional level. to Submit Response responses this RFI must submitted to NLMEPLM@mail.nlm.nih.gov by December 2, 2019. Please limit comments no than 3 pages. Responses this RFI voluntary may submitted anonymously. Please not include any personally identifiable other information you not wish make public. Proprietary, classified, confidential, sensitive information should be included responses. Government use information submitted response this RFI its discretion. Government reserves right use any submitted information public 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 informational planning purposes only is a solicitation applications an obligation the part the Government provide support any ideas identified response it. Please note the Government not pay the preparation any information submitted for of information. data collected maintained the eRA system covered under NIH Privacy Act Systems Record Notice SORN) 09-25-0225. Inquiries Please direct inquiries to: Mike DavidsonOffice Engagement Training, National Library Medicinemike.davidson@nih.gov
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): Use of the Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) for Capturing and NOT-OD-19-150 NIH Sep 24 2019 N/A Request Information RFI): of Health Level Seven International HL7®) Fast Healthcare Interoperability Resources FHIR®) Capturing Sharing Clinical Data Research Purposes Notice Number: NOT-OD-19-150 Key Dates Release Date: September 24, 2019 Response Date: November 23, 2019 Related Announcements NOT-OD-19-122NOT-OD-19-127 NOT-OD-19-014 NOT-OD-18-134 Issued National Institutes Health NIH) Purpose Request Information RFI) to solicit public input how Health Level Seven International HL7®) Fast Healthcare Interoperability Resources FHIR®) standard1 could used capture, integrate, exchange clinical data research purposes to enhance capabilities share research data. Background Once research approved compliant human subjects protections, of FHIR accelerate use clinical data research. FHIR a standardized of transmitting health data one health information system another through application programming interface API). of standard such FHIR accelerate use clinical data research. addition, FHIR provides way structure data generated research a manner fosters interoperability interchange both research clinical data. FHIR benefits relative ease implementation, availability open source implementation tools, considerable industry support, an American National Standards Institute ANSI) consensus development process. is also compatible analytic resources used biomedical research, such R Python. Several Federal health agencies promoting use FHIR electronic health record EHR) systems. 21st Century Cures Act requires a health information technology IT) developer entity allow health information… be accessed, exchanged, used without special effort through use application programming interfaces APIs)… including providing access all data elements a patient's electronic health record." 2 implement provision, Department Health Human Services, Office the National Coordinator Health Information Technology ONC) proposed new rule support seamless secure access, exchange, use electronic health information. 3 Specifically, proposed rule calls the health care industry adopt standardized APIs using FHIR standard share patient data. Concurrently, Centers Medicare amp; Medicaid Services CMS) released proposed rule requirements Medicaid, Children’s Health Insurance Program, Medicare Advantage plans, Qualified Health Plans the federally-facilitated Exchanges provide enrollees immediate electronic access medical claims other health information electronically 2020 adopting implementing openly published APIs. 4 CMS also require health care providers plans implement open data sharing technologies are consistent the FHIR standard ONC’s notice proposed rulemaking NPRM). Both ONC CMS NPRMs also support use specific content vocabulary standards achieve interoperability. FHIR already broadly used health care. of mid-April 2019, approximately third health developers certified under 2015 Edition 5 ONC’s Health Certification Program published they using FHIR API 6 . is estimated approximately 96% hospitals 74% clinicians EHR systems some FHIR API capabilities. addition, federal agencies using FHIR exchange data. example, CMS developed BlueButton 2.0 FHIR API enable exchange claims data software applications 7 . Payors, including CMS, providers working together automate data sharing using FHIR under Da Vinci Project 8 . broader sector also begun adopting FHIR, example, enable individuals import health records providers’ EHR systems to support uploading data cloud-based services. Pharmaceutical companies active FHIR development efforts 9 , including use FHIR integrate clinical trial management EHRs 10 . respective interoperability goals the NPRMs issued ONC CMS align and facilitate of objectives asserted the NIH Strategic Plan Data Science 11 , well NIH’s long-term policy goals data management sharing 12 . Additionally, its 2017-2027 Strategic Plan, 13  NLM proposes technical scientific advances ensure research data Findable, Accessible, Interoperable Re-usable FAIR). 14 with NIH-funded supported research involving human participants, as currently expectation using FHIR, investigators must obtain participant consent following applicable national, tribal, state laws regulations, well relevant institutional policies, the protection human subjects. July 30, 2019, NIH issued notice NOT-OD-19-122) encourage NIH-funded investigators explore use FHIR capture, integrate, exchange clinical data research purposes to enhance capabilities share research data. addition, NIH issued notice NOT-OD-19-127) small business communities announces NIH’s special interest supporting applications use FHIR the development health products services. Information Requested NIH requesting input how FHIR standard be used NIH funded researchers capture integrate patient- population-level data clinical information systems research purposes to it common structure sharing research data. particular, NIH like better understand researchers’ experiences using FHIR, extent which researchers plan do plan use FHIR, tools be needed effectively FHIR, need research regarding standards development, opportunities challenges using FHIR. NIH seeks comments any all the following topics: application the FHIR standard research data, considering: Anticipated challenges Anticipated opportunities Current experiences researchers using FHIR, including where researchers depositing data once FHIR-enabled, extent which researchers plan do plan use FHIR Current experiences researchers using FHIR reasons not using Additional routes which NIH encourage development use FHIR research purposes Ethical, privacy, security considerations using FHIR share research data Tools would assist NIH funded researchers advancing identified opportunities using FHIR Ways NIH stimulate research FHIR-related standards development Any topic may relevant NIH consider encouraging use the FHIR standard research to facilitate interoperability research data Submitting Response Comments should submitted electronically the following webpage: https://datascience.nih.gov/fhir-rfi-submission RFI for planning purposes only should be construed a policy, solicitation applications, as obligation the part the Government provide support any ideas identified response it. Please note the Government not pay the preparation any information submitted for use that information. Responses be compiled shared publicly an unedited version after close the comment period. Please not include any proprietary, classified, confidential, sensitive information your response. 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 guidance policy directions. look forward your input hope will share RFI your colleagues. Inquiries Please direct inquiries to: Belinda Seto, PhD Office Data Science Strategy National Institutes Health Email: FHIRRFI@nih.gov nbsp; References 1  https://www.hl7.org/fhir/overview.html 2  Section 4002(D)(iv) the 21st Century Cures Act (P.L. 114 – 255) 3  https://www.federalregister.gov/documents/2019/03/04/2019-02224/21st-cen... 4   https://www.federalregister.gov/documents/2019/03/04/2019-02200/medicare... 5   https://www.healthit.gov/topic/certification-ehrs/2015-edition 6   https://chpl.healthit.gov/#/search 7   https://bluebutton.cms.gov/ 8 http://www.hl7.org/about/davinci/ 9    https://transceleratebiopharmainc.com/esource-connectathon-challenge-recap/ 10   https://www.healthleadersmedia.com/innovation/ochsner-and-pfizer-constru... 11   https://datascience.nih.gov/news/nih-releases-strategic-plan-data-science 12   https://osp.od.nih.gov/scientific-sharing/nih-data-management-and-sharin... 13    https://www.nlm.nih.gov/pubs/plan/lrp17/NLM_StrategicReport2017_2027.html 14   https://www.force11.org/group/fairgroup/fairprinciples nbsp; nbsp;
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, data standards

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