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<!--- This is left column -->
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<div class="tablet:grid-col-8"><h1 class="title">NIH Big Data to Knowledge (BD2K) Grants</h1>
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<h1 class="title"><em>Research and Resource Support</em></h1>
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<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Biomedical"></a></h3>
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<h3 class="title"><a id="ResearchEd"></a>BD2K Research Education Curriculum Development: Data Science Overview for Biomedical Scientists (R25) (RFA-ES-16-011) <em>Expired</em></h3>
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<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-011.html">//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-011.html</a></p>
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<p><strong>Purpose</strong></p>
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<p>To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on <strong><em>Curriculum or Methods Development</em></strong> in Big Data Science to augment current institutional curricula for the training of predoctoral level biomedical scientists and provide concentrated instruction in the tools, approaches and quantitative analysis concepts in data science. To facilitate the integration of data science into biomedical curricula nationally, this FOA seeks to support a cohort of institutions that will work collaboratively and collectively to produce curricular materials that are findable, accessible, interoperable, and reusable (FAIR).</p>
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<p><strong>Deadlines</strong></p>
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<p>Deadlines for application – December 7, 2016, by 5PM local time of applicant organization.</p>
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<p>This program expires on December 8, 2016.</p>
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<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Courses"></a>BD2K Open Educational Resources for Skills Development in Biomedical Big Data Science (R25) (RFA-HG-16-016) <em>Expired</em></h3>
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<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-16-016.html">//grants.nih.gov/grants/guide/rfa-files/RFA-HG-16-016.html</a></p>
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<p><strong>Purpose</strong></p>
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<p>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.</p>
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<p>To this end, this FOA encourages the development of creative educational activities with a primary focus on Courses for Skills Development.</p>
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<p><strong>Deadlines</strong></p>
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<p>Deadlines for application – August 2, 2016, by 5 PM local time of applicant organization.</p>
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<p>This program expires on August 3, 2016.</p>
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<h3 class="title"><a id="R24"></a>Big Data to Knowledge (BD2K) Community-based Data and Metadata Standards Efforts (R24) (RFA-ES-16-010) <em>Expired</em></h3>
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<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-010.html">//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-010.html</a></p>
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<p><strong>Purpose</strong></p>
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<p>This Funding Opportunity Announcement (FOA), under the Big Data to Knowledge (BD2K) initiative, is to provide time-limited, catalytic support for standards-related activities in areas relevant to the NIH basic, translational, and clinical research mission.</p>
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<p>One of the goals of this program is to establish a repository of software developed under this program. Once implemented, funded individual projects are expected to deposit their software including the source codes and documentations at the repository, allowing centralized access and dissemination, consistent with achieving the goals of this program.For the purpose of this FOA, data and metadata standards are documented agreements on representation, format, definition, structuring, tagging, transmission, manipulation, use, and management of data. They can also be thought of as rules to describe how data are recorded. These include data exchange, data format, and data semantics.</p>
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<p><strong>Deadlines</strong></p>
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<p>Deadlines for application – November 9, 2016, by 5 PM local time of applicant organization.</p>
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<p>This program expires on November 10, 2016.</p>
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<h3 class="title"><a id="Enhancing"></a>NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) (RFA-MD-16-002) <em>Expired</em></h3>
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<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-MD-16-002.html">//grants.nih.gov/grants/guide/rfa-files/RFA-MD-16-002.html</a></p>
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<p><strong>Purpose</strong></p>
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<p>The over-arching goal of this NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) program is to support educational activities that enhance the diversity of the biomedical, behavioral, and clinical research workforce. To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on research experiences and curriculum or methods development. </p>
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<p><strong>Deadlines</strong></p>
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<p>Deadlines for application – November 14, 2016, by 5PM local time of applicant organization.</p>
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<p>This program expires on November 15, 2016.</p>
|
||
<h3 class="title"><a id="Curation"></a>Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-LM-17-001.html">//grants.nih.gov/grants/guide/rfa-files/RFA-LM-17-001.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>The purpose of this BD2K Funding Opportunity Announcement (FOA) is to support the development, improvement and implementation of tools and approaches that increase the efficiency and effectiveness of digital curation processes used to characterize and describe the digital data used in or resulting from biomedical research.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – December 15, 2016, by 5PM local time of applicant organization.</p>
|
||
<p>This program expires on December 16, 2016.</p>
|
||
<h3 class="title">NIH Big Data to Knowledge (BD2K) Biomedical Data Science Training Coordination Center (U24) (RFA-ES-15-004) <em>Expired</em></h3>
|
||
<p><a title="NIH Big Data to Knowledge (BD2K) Biomedical Data Science Training Coordination Center (U24) (RFA-ES-15-004)" href="//grants.nih.gov/grants/guide/rfa-files/RFA-ES-15-004.html" target="_blank" rel="noopener noreferrer">//grants.nih.gov/grants/guide/rfa-files/RFA-ES-15-004.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – March 17, 2015.</p>
|
||
<p>This program expires on March 18, 2015. </p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Massive"></a>NIH BD2K Initiative Research Education: Massive Open Online Course (MOOC) on Data Management for Biomedical Big Data (R25) (RFA-LM-15-001) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-LM-15-001.html">//grants.nih.gov/grants/guide/rfa-files/RFA-LM-15-001.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – March 17, 2015.</p>
|
||
<p>This program expires on March 18, 2015.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Sharing"></a>NIH BD2K Initiative Research Education: Open Education Resources for Sharing, Annotating and Curating Biomedical Big Data (R25) RFA-LM-15-002) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-LM-15-002.html">//grants.nih.gov/grants/guide/rfa-files/RFA-LM-15-002.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – March 17, 2015.</p>
|
||
<p>This program expires on March 18, 2015.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Enhancing"></a>NIH Big Data to Knowledge (BD2K) Enhancing Diversity in Biomedical Data Science (R25) (RFA-MD-15-005) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-MD-15-005.html">//grants.nih.gov/grants/guide/rfa-files/RFA-MD-15-005.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – March 19, 2015.</p>
|
||
<p>This program expires on March 20, 2015.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Courses"></a><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Supplements"></a>BD2K Supplements to Support Interoperability of NIH Funded Biomedical Data Repositories (Admin Supp) PA-15-144 <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/pa-files/PA-15-144.html">//grants.nih.gov/grants/guide/pa-files/PA-15-144.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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.</p>
|
||
<p>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</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – April 20, 2015.</p>
|
||
<p>This program expires on April 21, 2015.</p>
|
||
<p> </p>
|
||
<h1 class="title"><em>Training and Career Development Support</em></h1>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html" name="Revisions"></a>BD2K Support for Meetings of Data Science Related Organizations (U13) (RFA-CA-16-020) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-CA-16-020.html">//grants.nih.gov/grants/guide/rfa-files/RFA-CA-16-020.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>The purpose of this Funding Opportunity Announcement (FOA) is to support high quality and impactful conferences/scientific meetings that are convened by data science related organizations whose missions focus on biomedical data science. This FOA, which uses the NIH conference cooperative agreement program (U13), is part of the NIH-wide initiative, Big Data to Knowledge (BD2K). Data science related organizations have a critical role in advancing biomedical data science but often depend on meetings to carry out their work. This FOA will support high quality conferences or meetings that are relevant to the biomedical data science needs of the participating Institutes and Centers of the National Institutes of Health. For the purpose of this FOA, a conference is defined as a gathering, such as in the form of a symposium, seminar, scientific meeting, workshop, or any other organized and formal meeting where persons assemble to coordinate, exchange, and disseminate information, or to explore or clarify a defined subject, problem, or area of knowledge. Applicants representing data science related organizations may request support for one or a series of meetings over multiple years that address areas of data science aligned with the goals of the NIH BD2K program.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – December 15, 2016; November 30, 2018.</p>
|
||
<p>This program expires on December 1, 2018.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html" name="Revisions"></a>Revisions to Add Biomedical Big Data Training to Active NLM Institutional Training Grants in Biomedical Informatics (T15) (RFA-HG-14-006) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html">//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-006.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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."</p>
|
||
<p><em><strong>Note:</strong> 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.</em></p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – March 1, 2015; July 27, 2015; July 28, 2016.</p>
|
||
<p>This program expires on July 29, 2016.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-16-016.html" name="Resources"></a>Open Education Resources for Biomedical Big Data (R25) (RFA-HG-14-009) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html">//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>TThe goal of this FOA 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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – September 18, 2015.</p>
|
||
<p>This program expires on September 19, 2015.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Predoc"></a>Predoctoral Training in Biomedical Big Data Science (T32) (RFA-LM-16-002) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-LM-16-002.html">//grants.nih.gov/grants/guide/rfa-files/RFA-LM-16-002.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>The purpose of this Funding Opportunity Announcement (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 Big Data in the biomedical sciences. The proposed training programs 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 data.</p>
|
||
<p class="regulartext"><em><strong>Note:</strong> 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.</em></p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – July 25, 2016, by 5 PM local time of applicant organization.</p>
|
||
<p>This program expires on July 26, 2016.</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="MentoredCDA"></a>BD2K Mentored Career Development Award in Biomedical Big Data Science for Clinicians and Doctorally Prepared Scientists (K01) (RFA-ES-16-002) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-002.html">//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-002.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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 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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – August 1, 2016, by 5 PM local time of applicant organization.</p>
|
||
<p>This program expires on August 2, 2016</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="IntramuralMentoredCDA"></a>BD2K Mentored Career Development Award in Biomedical Big Data Science for Intramural Investigators (K22) (RFA-ES-16-003) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-003.html">//grants.nih.gov/grants/guide/rfa-files/RFA-ES-16-003.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>This BD2K FOA solicits K22 applications for a NIH Career Transition Award to provide support for outstanding basic or clinical investigators in the NIH Intramural Program to transition to independent, faculty level academic positions in the area of Big Data Science. The initiative is a two phase program which includes a mentored one year phase in an intramural appointment at NIH, and a second phase of up to three years of support at an extramural institution. The aim of the initiative is to support the additional training and transition of intramural scientists at any level of experience 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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadlines for application – August 1, 2016, by 5 PM local time of applicant organization.</p>
|
||
<p>This program expires on August 2, 2016</p>
|
||
<h3 class="title"><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-HG-14-009.html" name="Advancing"></a>Big Data to Knowledge (BD2K) Advancing Biomedical Science Using Crowdsourcing and Interactive Digital Media (UH2) (RFA-CA-15-006) <em>Expired</em></h3>
|
||
<p><a href="//grants.nih.gov/grants/guide/rfa-files/RFA-CA-15-006.html">//grants.nih.gov/grants/guide/rfa-files/RFA-CA-15-006.html</a></p>
|
||
<p><strong>Purpose</strong></p>
|
||
<p>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.</p>
|
||
<p><strong>Deadlines</strong></p>
|
||
<p>Deadline for application – June 3, 2015.<br /><br />This program expires on June 4, 2015.</p>
|
||
<h3 class="title">What is BD2K?</h3>
|
||
<p>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. <a href="https://datascience.nih.gov/bd2k/about">Read more</a></p>
|
||
<p>NLM Contact for BD2K</p>
|
||
<p>Dr. Valerie Florance, <a href="mailto:florancev@mail.nih.gov">florancev@mail.nih.gov</a></p>
|
||
<p> </p></div>
|
||
<!--- left column ends -->
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<div class="tablet:grid-col-4"><h4>Grant Program Overview</h4>
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<a href="Grants.html#research">Research Support</a><br /><a href="Grants.html#resource">Resource Support</a><br /><a href="Grants.html#career">Career Support</a><br /><a href="Grants.html#training">Training Support</a><br /><a href="Grants.html#small">Small Business R & D Support</a></div>
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<p class=”margin-top-5”><small>Last Reviewed: November 22, 2022</small></p>
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