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Grants and Funding: Extramural Programs (EP)

NIH Big Data to Knowledge (BD2K) Grants

Research and Resource Support

NIH Big Data to Knowledge (BD2K) Biomedical Data Science Training Coordination Center (U24) (RFA-ES-15-004) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-ES-15-004.html

Purpose

The purpose of this FOA is to solicit applications for a coordination center that will narrow the gap between the availability of biomedical big data and the ability of biomedical scientists to effectively utilize such data accurately, effectively, and efficiently. Achieving this goal requires: (1) bringing together individuals involved in training and career development programs to network and share experiences; and (2) engaging individuals developing open educational resources in meaningful dialogue to ensure that the resources they develop will be freely available and easy to access by the broader biomedical community. By the end of the award period, the Training Coordination Center (TCC) will be expected to have: (1) developed a network of scientists involved in biomedical big data science and (2) produced a discovery index that serves as a primary source for personalized access to publicly available biomedical data science educational resources.

Deadlines

Deadlines for application – March 17, 2015.

This program expires on March 18, 2015.

NIH BD2K Initiative Research Education: Massive Open Online Course (MOOC) on Data Management for Biomedical Big Data (R25) (RFA-LM-15-001) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-LM-15-001.html

Purpose

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. This BD2K funding announcement (FOA) seeks applications for the development of a Massive Open Online Course (MOOC) that covers a comprehensive set of topics related to the management of biomedical Big Data. The primary audience for this course is librarians and information specialists, who could use these materials as the basis of training and services to graduate students, faculty, research staff and administrators at their organizations.

Deadlines

Deadlines for application – March 17, 2015.

This program expires on March 18, 2015.

NIH BD2K Initiative Research Education: Open Education Resources for Sharing, Annotating and Curating Biomedical Big Data (R25) RFA-LM-15-002) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-LM-15-002.html

Purpose

The NIH Research Education Program (R25) supports research educational activities that complement other formal training programs in the mission areas of the NIH Institutes and Centers. The over-arching goal of this NIH Big Data to Knowledge (BD2K) R25 program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs, by creating educational resources to foster sharing, curating, and annotating of biomedical Big Data. To accomplish the stated over-arching goal, this FOA will support the development of open educational resources that cover concepts, approaches, relevant use cases and requirements for sharing, annotating and curating biomedical Big Data. These resources will be used by librarians and other instructors to train researchers and graduate students for active roles in the connected biomedical enterprise.

Deadlines

Deadlines for application – March 17, 2015.

This program expires on March 18, 2015.

NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) (RFA-MD-15-005) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-MD-15-005.html

Purpose

The primary purpose of the NIH BD2K Enhancing Diversity in Biomedical Data Science program is to provide resources for eligible institutions to implement innovative approaches to research education for diverse students in Big Data science, including those from underrepresented backgrounds in biomedical research. Through this program, eligible institutions will establish partnerships with newly established NIH BD2K Centers to design and implement novel approaches of data science education that emphasize research experiences and curriculum development at the applicant institution. Participating institutions should collectively consider all factors that are likely to prepare students and/or faculty to improve exposure, knowledge, and competency in Big Data science. It is expected that long-term collaborations will be developed to allow faculty and students to have substantive and continuous interactions for the duration of the funded project period and beyond.

Deadlines

Deadlines for application – March 19, 2015.

This program expires on March 20, 2015.

Courses for Skills Development in Biomedical Big Data Science (R25) (RFA-HG-14-008)

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-008.html

Purpose

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH. The goal of this Big Data to Knowledge (BD2K) Program is to support educational activities that complement and/or enhance the training of a workforce to meet the nation’s biomedical, behavioral and clinical research needs in Big Data Science.

To this end, this FOA encourages the development of creative educational activities with a primary focus on Courses for Skills Development.

Deadlines

Deadlines for application – April 1, 2014; April 1, 2015; April 1, 2016.

This program expires on April 2, 2016.

BD2K Supplements to Support Interoperability of NIH Funded Biomedical Data Repositories (Admin Supp) PA-15-144 Expired

http://grants.nih.gov/grants/guide/pa-files/PA-15-144.html

Purpose

NIH is accepting administrative supplement requests to support projects that will establish or improve interoperability among NIH funded biomedical data repositories. Improved interoperability is expected to lead to increased efficiency of repositories’ operations and cost reductions, which are significant factors of the NIH’s long-term sustainability plans for the biomedical data repositories.

Each supplement request should be associated to a collaborative project consisting of a biomedical data repository supported by an active NIH-funded parent grant, and one or more collaborating sites that together implement the interoperability goals of this FOA. The collaborating sites may be other biomedical data repositories, or may provide computational tools and data standards, or perform other activities that facilitate interoperability among data repositories. Supplement requests will only be accepted from active NIH-funded parent grants that primarily support biomedical data repositories with an overall annual budget above $500,000 in direct costs

Deadlines

Deadlines for application – April 20, 2015.

This program expires on April 21, 2015.

 

Training and Career Development Support

Revisions to Add Biomedical Big Data Training to Active NLM Institutional Training Grants in Biomedical Informatics (T15) (RFA-HG-14-006)

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html

Purpose

The purpose of this FOA is to allow revisions (competitive supplements) to add a Big Data Science track to active NLM T15 institutional training grants for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences. This proposed type of training should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical "big data."

Note: The term "biomedical" in this FOA will be used in the broadest sense to include biological, biomedical, behavioral, social, environmental and clinical studies that relate to understanding health and disease.

Deadlines

Deadlines for application – March 1, 2015; July 27, 2015; July 28, 2016.

This program expires on July 29, 2016.

Predoctoral Training in Biomedical Big Data Science (T32) (RFA-HG-14-004)

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-004.html

Purpose

The purpose of this FOA is to solicit applications for graduate training programs in Big Data Science, for the expressed purpose of training the next generation of scientists who will develop computational and quantitative approaches and tools needed by the biomedical research community to work with biomedical Big Data in the biomedical sciences. This proposed type of training should prepare qualified individuals for careers in developing new technologies and methods that will allow biomedical researchers to maximize the value of the growing volume and complexity of biomedical "big data."

Note: The term "biomedical" in this FOA will be used in the broadest sense to include biological, biomedical, behavioral, social, environmental and clinical studies that relate to understanding health and disease.

Deadlines

Deadlines for application – March 1, 2015; July 27, 2015.

This program expires on July 28, 2015.

Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01) (RFA-HG-14-007) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-007.html

Purpose

This BD2K FOA solicits applications for a mentored career development award in the area of Big Data Science. The aim of the initiative is to support additional mentored training of scientists who will gain the knowledge and skills necessary to be independent researchers as well as to work in a team environment to develop new Big Data technologies, methods, and tools applicable to basic and clinical research.

Deadlines

Deadlines for application – April 1, 2014; April 1, 2015.

This program expires on April 2, 2015.

Big Data to Knowledge (BD2K) Advancing Biomedical Science Using Crowdsourcing and Interactive Digital Media (UH2) (RFA-CA-15-006)

http://grants.nih.gov/grants/guide/rfa-files/RFA-CA-15-006.html

Purpose

The purpose of this Big Data to Knowledge funding opportunity (FOA) announcement is to support the development of new or significantly adapted interactive digital media that engages the public, experts or non-experts, in performing some aspect of biomedical research via crowdsourcing.

Deadlines

Deadline for application – June 3, 2015.

This program expires on June 4, 2015.

What is BD2K?

The mission of the NIH Big Data to Knowledge (BD2K) initiative is to enable biomedical scientists to capitalize more fully on the Big Data being generated by those research communities. With advances in technologies, these investigators are increasingly generating and using large, complex, and diverse datasets. Consequently, the biomedical research enterprise is increasingly becoming data-intensive and data-driven. However, the ability of researchers to locate, analyze, and use Big Data (and more generally all biomedical and behavioral data) is often limited for reasons related to access to relevant software and tools, expertise, and other factors. BD2K aims to develop the new approaches, standards, methods, tools, software, and competencies that will enhance the use of biomedical Big Data by supporting research, implementation, and training in data science and other relevant fields. Read more

NLM Contact for BD2K

Dr. Valerie Florance, florancev@mail.nih.gov