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NIH Grants in Biomedical Informatics and Big Data Science

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Presentation on theme: "NIH Grants in Biomedical Informatics and Big Data Science"— Presentation transcript:

1 NIH Grants in Biomedical Informatics and Big Data Science
Valerie Florance, PhD Associate Director for Extramural Programs National Library of Medicine, NIH/DHHS

2 Where I’m Headed Brief introduction to NIH
Trans NIH Grant Program Examples All of Us Research Program, Common Fund, Brain Research grants in Biomedical Informatics and Data Science from the National Library of Medicine (NLM) Basics of NIH Grants – finding topics, potential sponsors, potential partners

3 National Institutes of Health, DHHS (www.nih.gov)
NIH provides leadership and direction to programs designed to improve the health of the Nation by conducting and supporting basic and applied research

4 NIH = 27 Institutes and Centers
24 NIH Institutes award grants and contracts 19 are ‘categorical’ (e.g., heart-lung-blood, cancer, dental, arthritis, infectious disease) 5 are non-categorical (NIGMS, NHGRI, NIBIB, NCATS, NLM) $32.3 billion FY 2016 83 percent of budget goes outside NIH to 300,000 research personnel in over 3,000 universities, medical schools and other research organizations

5 Biomedical Informatics & Data Science Grants
NIH Institutes and Centers Trans-NIH Initiatives 24 Institutes and Centers give mission-related research grants that COULD support novel computational sciences NLM is the only institute whose grants focus solely on biomedical informatics/data/information science research NIH All of Us Initiative NIH Common Fund – Funding for High Risk-High Reward ($544 million, biology, omics emphasis) Brain Initiative

6 NIH All of Us

7 Recommendations for assembling the All of Us Research Cohort
One million or more U.S. volunteers Broadly reflect the diversity of America (including family members of all ages, health statuses), Strong focus on underrepresented groups Longitudinal cohort, with continuing interactions, re-contactable for secondary studies; provide EHR data, provide biospecimen(s), answer a survey and complete a baseline exam Two methods of enrollment Direct volunteers: anyone can sign up Healthcare provider organizations Substantial participant engagement in research Awards already made Biobank Research Data Resource Center Participant Technologies Tools to sign up Tools to obtain and share personal health information Health Care Provider Enrollment Centers Working with health records vendors and health care organizations

8 NIH Common Fund – High Risk High Reward Research Grant Programs
NIH Director’s Pioneer Award substantially different scientific directions from those already being pursued by applicant 5 years, $700K direct costs + F&A NIH Director’s New Innovator Award any scientific area relevant to the mission of NIH (biological, behavioral, clinical, social, physical, chemical, computational, engineering, and mathematical sciences), early stage investigators 5 YEARS, $300K direct costs + F&A

9 NIH Common Fund – High Risk High Reward Research Grant Programs
NIH Director’s Transformative Research Award supports exceptionally innovative, unconventional, paradigm-shifting research projects that are inherently risky and untested No budget limit up to maximum funds available as listed in the FOA Five year award; for 2017 awards, $8 million available

10 Big Data to Knowledge

11 Populating the NIH Data Commons
Make large, high impact, NIH funded data sets available in the cloud/commons Co-locate large datasets and compute power, to improve access, use, re-use, and sharing of data and tools Kick-start the Commons with Commons-compliant data and tools Data must adhere to Common compliance /FAIR principles Provide indexable test data sets for bioCADDIE (and other indexing efforts)

12 NIH Brain Initiative: Innovative technologies to produce a dynamic picture of cells and circuits in time and space

13 Brain Initiative Funding Opportunities

14 Trans-NIH Grant Programs
Common Fund or Multiple institutes share the costs Language in the Funding Opportunity Announcement might not say informatics or computer science or engineering Review models are different (editorial board, sometimes including interviews for semi-finalists) Might require a ‘pre-application’ Expectation of team science. Looking for new directions and new ideas

15 National Library of Medicine

16 When you think of NLM… PubMed and PubMed Central MedLine Plus
Clinical Trials.gov Intramural Research Fellowships UMLS Biomedical Informatics Short Course

17 Sweet Spot for NLM Research Grants: Biomedical Informatics and Data Science
Concepts and Methods Biomedical Application Domains Health Care Biology Transl. Science Public Health Clinical Research Environmental Exposures Others Computer Science Information Science Data Science Statistics Social/Behavioral Sciences Others Core area for NLM Funding

18 Active NLM Research Grants (2017 n=141, $49.8 million)
Go to Report.nih.gov Choose Reporter Search for active NLM grants Choose Data & Visualize Use the ‘circles’ display Click on a segment to see lists of individual grants

19 NLM Biomedical Informatics Research Grant Programs
R01 Research Project Grants NLM Express Research Grants in Biomedical Informatics and Bioinformatics (R01) (PAR ) up to $250,000 direct costs for 4 years + overhead Data Science Research: Personal Health Libraries for Patients and Consumers (R01) (PAR ) Up to $250,000 direct costs for 4 years + overhead NIH Parent Research Project Grant (NIH Parent R01) (PA ) up to $500,000 direct costs for 5 years + overhead R21 Exploratory/Developmental Research Grant NIH Parent (PA ) up to $275,000 direct costs over 2 year 19

20 NLM's research interests include but are not limited to:
Information & knowledge processing, including understanding, translation or summarization of natural language in real-time or near real-time automated assignment of metadata and other curation assistance Integration of very large data sets and/or heterogeneous data types to support discovery, learning and health care Advanced information retrieval, knowledge discovery in very large or heterogeneous data sets, discovery mining, and other techniques for in silico discovery and research including approaches for accelerating the linkage of phenotypic and genomic information Incorporation of machine intelligence into knowledge tools and resources for use by patients and consumers Models of complex data, simulations, information visualization and presentation approaches to enhance decisions, learning or understanding, particularly in large and heterogeneous data sets Innovative approaches for ensuring accuracy, privacy and security of clinical and biomedical research data Support for consumer and patient engagement in understanding, accessing, sharing, protecting and using their own health data From: PAR and PAR

21 New NLM Research Grants – Informatics and Data Science
Crowd Assisted Deep Learning for Digital Curation (UCSF) U01 Streamlined Capture and Curation of Unpublished Data (Cal Inst Tech) U01 Integrating Neuroimaging, Multi-Omics and Clinical Data in Complex Disease (Indiana) R01 Deconvolution of Epigenomic Data to Characterize Cellular Subpopulations (Wash U) R21

22 Find out what NIH already supports in your area
NIH RePORTER provides reports, access to data, analyses of NIH Research activities, and access to information about all funded research projects. This tool can uncover funded projects related to your work.

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25 Example Record from NIH RePORTER

26 Find Active NIH Grants on a Topic
Search NIH RePORTER: for term “machine learning” 695 active grants, $315 million projectreporter.nih.gov

27 NIH Funders of Machine Learning Research Grants
Search NIH RePORTER: for term “machine learning” 629 active grants, $315 million projectreporter.nih.gov

28 NIH RePORTER : MATCHMAKER Feature
The goal is to deploy the infrastructure needed to explore the value of informal social network postings as a source of “signals” of potential adverse drug reactions soon after the drugs hit the market, paying particular attention at the value such information might have to detect adverse events earlier than currently possible, and to detect effects not easily captured by traditional means. Specific aims to be addressed include: 1). To establish the infrastructure that enables processing of online user comments about the drug on health-related social network websites. 2) To evaluate the sensitivity and specificity of the extraction and identification systems, as well as the predictive value of the extracted knowledge through specific case studies of a set of drugs with well known adverse reactions and by monitoring postings about a select group of drugs released since ) To compare the knowledge extracted from patient comments to what is derived from the established FDA drug safety monitoring.

29 Subscribe to the NIH Guide to Grants and Contracts
Weekly s provide the current NIH Guide Table of Contents, including links to all funding opportunities and notices published during the week

30 Plan Ahead: Register before the Applications are Due
8 weeks !!

31 Finding out more about NIH Grants
NLM Grant Program Contacts NIH Grants Information Dr. Hua-Chuan Sim – Clinical and public health informatics Dr. Alan VanBiervliet – Consumer health informatics, information sciences & special programs – Dr. Jane Ye – Bioinformatics and translational informatics - Dr. Valerie Florance – General NIH and Common Fund - expenditures & results for NIH funded grants - NIH Guide to Grants & Contracts for new announcements http: - NLM grants site, with lists of awards and active grant programs

32 NLM Extramural Programs Division
Links to announcements for NLM’s active grant programs Lists of awards since 1997 FAQs and help Contact Information for our Grant program officers Links to grant tutorials


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