FOA Title: 
Notice of Intent to Publish a Funding Opportunity Announcement for Predoctoral Training in Biomedical Big Data Science (T32)
Grant Type: 
NOT-HG-14-011
Primary IC: 
NHGRI
Release Date: 
Feb 07 2014
Expiration Date: 
N/A
AC Source: 
N/A
Purpose: 
Notice Intent Publish Funding Opportunity Announcement Predoctoral Training Biomedical Big Data Science T32) Notice Number: NOT-HG-14-011 Update: following update relating this announcement been issued: April 22, 2014 - Issuance RFA-HG-14-004, RFA-HG-14-005, RFA-HG-14-006. Key Dates Release Date: February 7, 2014 Estimated Publication Date Announcement: Spring 2014  First Estimated Application Due Date: Summer 2014  Earliest Estimated Award Date: Spring 2015  Earliest Estimated Start Date: Spring 2015  Related Announcements NOT-HG-14-022 NOT-HG-14-023 Issued National Institutes Health NIH) National Human Genome Research Institute NHGRI) Purpose NIH announcing intent publish Funding Opportunity Announcement FOA) graduate training programs Big Data science, train next generation scientists will develop computational quantitative approaches tools needed the biomedical research community work biomedical Big Data. aim this initiative to train cadre scientists have knowledge skill sets scientific disciplines relevant Big Data Science the biomedical sciences.  this context, term Big Data" used the broadest sense include biological, biomedical, behavioral, social, environmental, clinical studies relate understanding health disease. predoctoral training initiative different most currently funded NIH training programs that will: 1) require trainees become proficient the intersection three scientific areas – computer science/informatics, statistics/mathematics, biomedical science;  2) expect active participation training faculty all these three scientific disciplines will work collaboratively across disciplines co-mentors trainees Big Data Science; 3) develop skills required participate a team approach solving data-intensive biomedical problems, while also nurturing skills necessary be independent investigator Big Data science. Notice being provided allow potential applicants sufficient time develop meaningful collaborations responsive projects.  FOA expected be published the spring 2014 an expected application due date the summer 2014. FOA utilize T32 activity code. Details the planned FOA provided below. Research Initiative Details Background BD2K training program initiative being developed response information three sources. First, report the Data Informatics Working Group DIWG) the Advisory Committee the NIH Director recommended NIH Build Capacity Training Work Force the Relevant Quantitative Sciences such Bioinformatics, Biomathematics, Biostatistics, Clinical Informatics” Report). Second, Request Information NOT-HG-13-003; Report) issued the NIH solicit input the extramural community what types knowledge skills needed individuals effectively manage utilize Big Data. Third, workshop Report) held NIH addressed knowledge, skills, resources needed organize, process, manage, analyze, visualize large, complex data sets. Description the BD2K Training Program Institutional training grants a key component a broader BD2K effort train leaders have skills depth knowledge develop new quantitative approaches tools maximize value the growing amount complexity biomedical Big Data. is becoming increasingly clear there many new opportunities presented the availability multidimensional data including, not limited to, imaging, phenotypic, molecular including omics), clinical, behavioral, environmental, multiple small data sets. the same time, are enormous challenges computing across integrating data to extracting useful biological knowledge them.  purpose the BD2K training program to produce graduates will the required multidisciplinary skill sets become leaders the effort develop new quantitative approaches tools needed the biomedical research community harness opportunities Big Data provides. Because Big Data science interdisciplinary nature, is expected trainees acquire during training experience competency all three relevant areas computer science/informatics,   statistics/mathematics, biomedical science – expertise aspects data science are essential biomedical science. training should include those aspects computer science/informatics statistics/mathematics are directly relevant the biomedical sciences. Primary Organizational Focus the Training Grant Program Only application per institution, identified a unique DUNS number, be accepted. Multiple PDs/PIs encouraged. Since focus the training in area developing new approaches tools manipulating, analyzing, interpreting Big Data, PDs/PIs this type training program collectively encompass expertise all three major scientific areas, including demonstrated research leadership computer science/informatics, statistics/mathematics, biomedical science. Participating training faculty should include investigators develop new technologies practical tools, generate utilize Big Data, who a variety biomedical expertise, clinical basic sciences, with multiple disease specialties.  Applications training programs focus exclusively one two the BD2K relevant scientific areas on just few diseases not considered responsive. primary PD(s)/PI(s) must ensure the appropriate faculty work collaboratively in sustained manner across scientific disciplines organizational lines jointly mentor trainees. NIH strongly encourages institutions expertise the three areas discussed above have previously received training grants NIH apply. NIH also encourages institutions currently multiple NIH training grants who wish to apply a BD2K training grant consider drawing and taking advantage existing training activities, through collaborative approaches expand beyond their current training programs offer create unique, effective Big Data training program. Review criteria include evaluation the strength the leadership develop collaborations across departments the usage innovative approaches build existing programs. NIH planning publish FOAs revisions T32 NOT-HG-14-022) T15 institutional training grants reference NOT-HG-14-023). institutions T32 T15 institutional training grants supported the NIH. Given limited amount funds these combined initiatives, institutions encouraged consider combining expertise Big Data within institution submitting only application, whether for: a) new T32 institutional training grant b) revision a T32 T15 institutional training grant. Applications not being solicited this time. Inquiries Please direct inquiries to: Michelle Dunn, Ph.D. National Cancer Institute NCI) Telephone: 240-276-6881 Email: bd2k_training@mail.nih.gov   Website: http://bd2k.nih.gov/