Skip Navigation Bar

Grants and Funding: Extramural Programs (EP)

NIH Big Data to Knowledge (BD2K) Grants

Research and Resource Support

Development of Software and Analysis Methods for Biomedical Big Data in Targeted Areas of High Need (U01) (RFA-HG-14-020)

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-020.html

Purpose

In response to the spectacular opportunities and immense challenges presented by the dawning era of "Big Data" in biomedical research, NIH has developed the Big Data to Knowledge (BD2K) initiative with the mission of enabling the biomedical research community to use the various types of Big Data for research. The purpose of this Funding Opportunity Announcement (FOA) is to solicit development of analysis methods and software in the four topic areas of data compression/reduction, data visualization, data provenance, and data wrangling as part of the overall BD2K initiative.

Deadlines

Deadlines for application – June 19, 2014.

This program expires on June 20, 2014.

BD2K-LINCS-Perturbation Data Coordination and Integration Center (DCIC) (U54) (RFA-HG-14-001) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-001.html

Purpose

This FOA seeks applications to develop a data coordination and integration center (DCIC) that will address the opportunities and challenges provided by two major NIH efforts: Big Data to Knowledge (BD2K) and the Library of Integrated Network-Based Cellular Signatures (LINCS). The NIH expects that this BD2K-LINCS DCIC will focus on perturbagen-response data and signatures while ensuring that the resulting resources are effectively utilized by the community by addressing challenges related to biomedical Big Data.

Deadlines

Deadline for application – March 19, 2014.

This program expires on March 20, 2014.

Development of an NIH Data Discovery Index Coordination Consortium (U24) (RFA-HL-14-031) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-HL-14-031.html

Purpose

The purpose of this FOA is to create a consortium to begin development of an NIH Data Discovery Index (DDI) to allow discovery, access, and citation of biomedical data. As part of the NIH Big Data to Knowledge (BD2K) initiative, the DDI seeks to fulfill the recommendation from the Data and Informatics Working Group (DIWG) report to the Advisory Council of the Director (http://acd.od.nih.gov/06142012_DIWG_ExecSummary.pdf) to "Promote Data Sharing through Central and Federated Catalogues." The awardee in response to this FOA will constitute a DDI Coordination Consortium (DDICC, U24) to conduct outreach, fund small pilot projects, manage communication with stakeholders, constitute and coordinate Task Forces to study relevant questions related to access, discoverability, citation for all biomedical data and assure community engagement in the development, testing and validation of an NIH DDI.

Deadlines

Deadline for application – March 6, 2014.

This program expires on March 7, 2014.

Centers of Excellence for Big Data Computing in the Biomedical Sciences (U54) (RFA-HG-13-009) Expired

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-13-009.html

Purpose

Biomedical research is becoming more data-intensive as researchers are generating and using increasingly large, complex, and diverse data sets. This era of "Big Data" taxes the ability of biomedical researchers to locate, analyze, and interact with these data (and more generally all biomedical data) and associated software due to the lack of tools, accessibility, and training. In response to these new challenges in biomedical research, NIH has developed the Big Data to Knowledge (BD2K) Initiative. Under this FOA, BD2K Centers of Excellence are sought to conduct research to advance the science and utility of Big Data in the context of biomedical and behavioral research, and to create innovative new approaches, methods, software, tools, and related resources. The Centers will advance the ability of the biomedical research enterprise to use Big Data by producing tools and resources from early-stage to mature development that will be broadly useful to the research community.

Deadlines

Deadline for application – November 20, 2013.

This program expired on November 21, 2013.

 

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 – July 28, 2014; 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 – July 28, 2014; July 27, 2015.

This program expires on July 28, 2015.

Open Educational Resources for Biomedical Big Data (R25) (RFA-HG-14-009)

http://grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html

Purpose

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The goal of this funding opportunity announcement (FOA) is to complement and/or enhance the training of a workforce to meet the nation's biomedical, behavioral, and clinical research needs in utilizing 'Big Data.'

To this end, this funding opportunity announcement encourages the development of creative educational activities with a primary focus on Curriculum or Methods Development.  In particular, this Big Data to Knowledge (BD2K) FOA encourages R25 applications proposing the development of open educational resources (OER) for use by large numbers of learners at all career levels that enhance the ability of the workforce to use and analyze biomedical Big Data.

Deadlines

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

This program expires on April 2, 2016.

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.

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

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.

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