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The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to active 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 (see definition under Funding Opportunity Description). This proposed training initiative 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.

The purpose of this Funding Opportunity Announcement (FOA) is to solicit revisions (competitive supplements) to add a Big Data Science track to currently funded T32 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 (see definition under Funding Opportunity Description). This proposed training initiative 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.

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 biomedical Big Data in the biomedical sciences (see definition under Funding Opportunity Description). This proposed training initiative 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.

The NIH is interested in promoting a broad base of research and development of technologies in biomedical computing, informatics, and Big Data Science that will support rapid progress in areas of scientific opportunity in biomedical research. It is expected that this research and development is conducted in the context of important biomedical and behavioral research problems. As such, applications are intended to develop enabling technologies that could apply to the interests of most NIH Institutes and Centers and range from basic biomedicine and including research to all relevant organ systems and diseases. Major themes of research include collaborative environments; data integration; analysis and modeling methodologies; and novel computer science and statistical approaches. New opportunities are also emerging as large and complex data sets are becoming increasingly available to the research community. This initiative aims to address biomedical research areas in biomedical computing, informatics, and Big Data science through the early stage development of new software, tools and related resources, as well as the fundamental research (e.g., methodologies and approaches) leading up to that development.

This Funding Opportunity Announcement (FOA) invites training grant applications for support of predoctoral and postdoctoral training for research careers in biomedical informatics and data science. Applications may be for the creation of entirely new programs or for the renewal of active NLM T15 training grants. Such training helps meet the growing need for investigators trained in biomedical computing, data science and related information fields as they directly relate to application domains in health and biomedicine, including health care delivery, basic biomedical research, clinical and translational research, public health and similar areas.

This Funding Opportunity Announcement (FOA) invites training grant applications for support of predoctoral and postdoctoral training for research careers in biomedical informatics and data science. Applications may be for the creation of entirely new programs or for the renewal of active NLM T15 training grants. Such training helps meet the growing need for investigators trained in biomedical computing, data science and related information fields as they directly relate to application domains in health and biomedicine, including health care delivery, basic biomedical research, clinical and translational research, public health and similar areas.

The purpose of the NLM Career Development Award (K01) in Biomedical Informatics and Data Science is to provide support and "protected time" (up to three years) for an intensive career development experience in biomedical informatics and data science leading to research independence. NLM invites K01 applications from junior investigators, who have either a health professional or research doctorate and who are in the first three years of their initial faculty positions. Candidates who received their training at one of NLM's university-based biomedical informatics training programs are encouraged to apply.

The NIH Research Education Program (R25) supports research education activities in the mission areas of the NIH.  The over-arching goal of this 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.  To accomplish the stated over-arching goal, this FOA will support creative educational activities with a primary focus on Courses for Skills Development for biomedical researchers who need the requisite knowledge and skills to extract knowledge from biomedical Big Data.  To extend the reach of the course, each educational activity is required to develop open educational resources (OERs) that adhere to FAIR (findable, accessible, interoperable, and reusable) principles. Ideally, OERs should be useful to individuals at all career levels, from predoctoral students to established investigators. 

This funding opportunity announcement (FOA) encourages Small Business Innovation Research (SBIR) grant applications from small business concerns (SBCs) that propose development of a broad base of innovative technologies in biomedical computing, informatics, and Big Data Science that will support rapid progress in areas of scientific opportunity in biomedical research. It is expected that this research and development is conducted in the context of important biomedical and behavioral research problems. As such, applications are intended to develop enabling technologies that could apply to the interests of most NIH Institutes and Centers and range from basic biomedicine to research in all relevant organ systems and diseases. Major themes of research include collaborative environments; data integration; analysis and modeling methodologies; and novel computer science and statistical approaches. New opportunities are also emerging as large and complex data sets are becoming increasingly available to the research community.

The NIGMS Postdoctoral Research Associate (PRAT) Programs overarching goal is to provide high quality postdoctoral research training in the basic biomedical sciences, in NIH intramural research laboratories, to a diverse group of postdoctoral fellows to prepare them for leadership positions in biomedical careers. The research projects proposed should focus on NIGMS mission-related areas of basic biomedical science. These include cell biology, biophysics, genetics, developmental biology, pharmacology, physiology, biological chemistry, computational biology, technology development and bioinformatics. Studies employing model organisms are encouraged

NCATS plans to support the research, development and testing of up to three biomedical reasoning tool prototypes for the Biomedical Data Translator for an estimated $1,000,000 total costs each. NCATS is utilizing a three-step application process (challenge-concept-proposal) for this expedited program. The duration of each award will be less than one year. All awardees will be expected to collaborate and cooperate with NCATS staff, one another and potentially other contributors to the overall program to maximize the exploration of the potential capabilities of Translator and to understand technical feasibility and challenges of having multiple groups build a single resource. All U.S. and foreign organizations and U.S. citizens are eligible to apply. This funding opportunity is open to U.S. and foreign organizations, including academic institutions and commercial entities; subcontracts are allowed. U.S. citizens may also apply as individuals and may be direct recipients of an award. Non-citizen individuals residing in the U.S. or foreign country not affiliated with either a U.S. or foreign organization are not eligible to be direct recipients of an award. Successful completion of the application process will require applicants to have specific skills related to translational research and software development. Applicants need to demonstrate technical skills, including familiarity with web communication protocols, a variety of programming languages and software stack, and general algorithmic techniques in the areas of artificial intelligence, machine learning, and knowledge engineering, as well as problem solving skills, especially creativity and persistence. Applicants familiar with languages and packages most useful for solving different tasks, the entire challenge process may take between 2 and 8 hours to complete.

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.

This announcement encourages pre-applications for the creation of national Biomedical Technology Research Resources (BTRRs). These Resources develop new or improved technology driven by the needs of basic, translational, and clinical researchers. The BTRRs are charged to make their technologies available to the biomedical research community, to train members of this community in the use of the technologies, and to disseminate both the technologies and the Resources experimental results broadly.

The goal of a Bioengineering Research Partnership (BRP) is to drive the development and speed the adoption of promising tools and technologies that can address important biomedical problems for which insufficient or no solutions exist.  The use of engineering principles is encouraged to establish these tools and technologies as robust, well-characterized solutions that fulfill an unmet need. A synergistic partnership between engineering and the life, physical, and computational sciences is also encouraged, where the unique skills of each discipline combine to enhance our understanding of life science processes or the practice of medicine. The purpose of this FOA is to encourage BRP applications that: 1) establish a robust engineering solution to a problem in biomedical research or the practice of medicine; 2) develop a strategic alliance of multidisciplinary partners based on a well-defined leadership plan; and 3) realize a specific endpoint within 5-10 years based on a detailed plan with a timeline and quantitative milestones.

The Centers of Excellence in Genomic Science (CEGS) program establishes academic Centers for advanced genome research.  Each CEGS grant supports a multi-investigator, interdisciplinary team to develop innovative genomic approaches to address a particular biomedical problem.  A CEGS project will address a critical issue in genomic science or genomic medicine, proposing a solution that would be a very substantial advance.  Thus, the research conducted at these Centers will entail substantial risk, balanced by outstanding scientific and management plans and very high potential payoff.  A CEGS will focus on the development of novel technological or computational methods for the production or analysis of comprehensive data sets, or on a particular genome-scale biomedical problem, or on other ways to develop and use genomic approaches for understanding biological systems and/or significantly furthering the application of genomic knowledge, data and methods towards clinical applications.  Exploiting its outstanding scientific plan and team, each CEGS will nurture genomic science at its institution by facilitating the interaction of investigators from different disciplines, and by providing training to new and experienced investigators, it will expand the pool of highly-qualified professional genomics scientists and engineers.

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.

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.

This funding opportunity announcement (FOA) addresses the strong need for an electronic repository system in Rwanda. The system will be a web-based monitoring and reporting system to be used by all USG PEPFAR-funded agencies and implementing partners operating in the country, including the Rwandan Ministry of Health, the Rwanda Biomedical Center, and other PEPFAR implementing partners. An initial assessment of the existing electronic system will provide insights on whether or not maintenance, upgrade, or the development of a new platform will address the needs of PEPFAR Rwanda. A flexible and stable platform is needed and will serve as the unique repository of PEPFAR Rwanda program data at the country level. It will be used to generate PEPFAR periodic reports, including the semi-annual and annual progress reports and additional ad hoc requests. The purpose of this FOA is to develop a new system or upgrade and maintain the existing web-based reporting system that has been in place since 2008 and build local capacity within the USG team to manage and maintain the system. The system should include automated checks for data quality. In doing so, the system will add new functionality (e.g., dashboard to easily view achievement of indicators, etc.) as well as add additional data variables to be used for HIV program planning and implementation. The Division of HIV/AIDS at the Rwanda Biomedical Center (RBC) will be one of the major users of the data stored and managed on the system, and the successful applicant will be expected to work closely with this division to refine some of the data elements collected to ensure harmonization with the national system.

This Funding Opportunity Announcement (FOA) addresses the need for a robust National Metabolomics Data Repository to store, and make publicly available, raw and processed metabolomic data generated by large NIH programs, individual research grants, and other biomedical research groups. Data, associated metadata, and the essential tools critical for accessing the key information will be housed in a cloud computing environment accessible for searching and reanalysis by the biomedical research community. 

This funding opportunity announcement (FOA) encourages grant applications for national Biomedical Technology Research Resources (BTRR). These Resources conduct research and development of new or improved technologies driven by the needs of basic, translational, and clinical researchers. The Resources are charged to make their technologies available to the research community in a sustainable manner, to provide user training, and to disseminate the Resources technologies and experimental results. Resources should be at the leading edge of their field with respect to both technology development and engagement of the relevant research community. New applicants are strongly encouraged to submit a pre-application in response to PAR-17-315 The pre-application process provides feedback on whether the proposed technology development is appropriate for the NIGMS BTRR program, and the potential competitiveness of a full application.

This Funding Opportunity Announcement (FOA) encourages grant applications for Biomedical Technology Resource Centers (BTRCs). BTRCs are national resource centers for conducting research and development on new technologies that are driven by the needs of basic, translational, and/or clinical researchers. BTRCs also make their technologies available to other investigators, train members of the research community in the use of the technologies, and disseminate the technologies broadly.

The overall goal of the Intramural NIGMS Postdoctoral Research Associate (PRAT) program is to help ensure that a diverse pool of highly trained scientists is available in appropriate scientific disciplines to address the Nation's biomedical research needs.