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The purpose of this FOA is to provide resources for integrated development of experimental, analytic and theoretical capabilities for large-scale analysis of neural systems and circuits. We seek applications for exploratory studies that use new and emerging methods for large scale recording and manipulation of neural circuits across multiple brain regions. Applications should propose to elucidate the contributions of dynamic circuit activity to a specific behavioral or neural system. Studies should incorporate rich information on cell-types, on circuit functionality and connectivity, and should be performed in conjunction with sophisticated analysis of ethologically relevant behaviors. Applications should propose teams of investigators that seek to cross boundaries of interdisciplinary collaboration by bridging fields and linking theory and data analysis to experimental design. Exploratory studies supported by this FOA are intended to develop experimental capabilities and theoretical frameworks in preparation for a future competition for large scale awards.

This funding opportunity announcement, in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative aims to support planning activities and the initial stages of development of entirely new or next generation brain imaging technologies and methods that will lead to transformative advances in our understanding of the human brain.

Understanding the dynamic activity of neural circuits is central to the NIH BRAIN Initiative. This FOA seeks applications for proof-of-concept testing and development of new technologies and novel approaches for large scale recording and manipulation of neural activity, to enable transformative understanding of dynamic signaling in the nervous system. In particular we seek exceptionally creative approaches to address major challenges associated with recording and manipulating neural activity, with cellular resolution, at multiple spatial and/or temporal scales, in any region and throughout the entire depth of the brain. It is expected that the proposed research may be high risk, but if successful could profoundly change the course of neuroscience research.

This funding opportunity announcement, in support of the NIH Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative aims to pilot classification strategies to generate a systematic inventory/cell census of cell types in the brain. Pilot projects are sought that would 1) provide cell census data in the whole brain, a brain region, or a significant functional circuit in the vertebrate nervous system; 2) integrate molecular identity of cell types with connectivity, morphology, and location; 3) apply statistical methods for creating a taxonomy of cell types based on molecular identity and connectivity; 4) provide realistic estimates on the number/percentage of defined cell types in specific region(s) and/or circuit(s); and 5) provide a basis to map cell types based on molecular identity and connectivity onto a reference brain atlas. These pilot projects and methodologies should be designed to demonstrate their utility and scalability to ultimately complete a comprehensive cell census of the human brain in the future.

The purpose of this Funding Opportunity Announcement (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. Part of this effort will be to assemble a user interface (website) through which the results of development and testing of models for an NIH DDI may be communicated. It is anticipated that a successful DDICC will work with the NIH to overcome obstacles in the way of better use and application of biomedical big data by developing a working concept for a DDI.

The Office of Research on Women's Health (ORWH) announces the availability of administrative supplements to support research highlighting the impact of sex/gender differences (or similarities) and/or sex and gender factors in human health and illness, including preclinical, clinical and behavioral studies. Of special interest are studies relevant to the molecular and cellular and systems biology bases of disease and pathophysiology, clinical presentation, and prevention and treatment of disease. The proposed research should address at least one objective from Goals 1 through 3 of the NIH Strategic Plan for Women's Health Research.

The SCORE Program is a developmental program designed to increase the research competitiveness of faculty and research base of institutions with a historical mission or demonstrated commitment to training students from backgrounds underrepresented in biomedical research. In addition, eligible institutions must award science degrees to undergraduate (B.S. or B.A.) and/or graduate students (M.S. or Ph.D.) and have received on average less than 6 million dollars (total cost) per year of NIH R01 support in the last 2 fiscal years.

The National Institutes of Health (NIH) will award Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Research Training Grants (T32) to eligible, domestic institutions to enhance predoctoral and postdoctoral research training, including short-term research training, and help ensure that a diverse and highly trained workforce is available to meet the needs of the Nations biomedical, behavioral, and clinical research agenda. Research training programs will incorporate didactic, research, and career development components to prepare individuals for careers that will have a significant impact on the health-related research needs of the Nation. Programs proposing only short-term research training should not apply to this announcement, but rather to the Kirschstein-NRSA Short-Term Institutional Research Training Grant Program (T35) exclusively reserved for predoctoral, short-term research training (see PA-14-016).

The SCORE Program is a developmental program designed to increase the research competitiveness of faculty and research base of institutions with a historical mission and/or demonstrated track record of training and graduating students from backgrounds underrepresented in biomedical research. In addition, eligible institutions must award science degrees to undergraduate (B.S. or B.A.) and/or graduate students (M.S. or Ph.D.) and have received on average less than 6 million dollars per year of NIH R01 support (total cost) in the last 2 fiscal years.

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. A successful DCIC will ensure consistent annotation of data and tools generated within the LINCS program; incorporate (without replicating databases) relevant non-LINCS perturbation data into the LINCS resource; support integration of relevant data, signatures, and tools to allow for seamless exploration of the (LINCS) programs output by a broad range of biomedical researchers; support linkages to outside knowledge bases, data portals, and resources; support training in perturbation-data science skills; build innovative access and query tools to disparate databases hosting multiple data types; and disseminate the resulting tools and resources to the broad range of biomedical researchers. Related FOAs of relevance to the DCIC include RFA-RM-13-013 soliciting applications for LINCS data and signature generation and RFA-HG-13-009 soliciting applications for BD2K Centers of Excellence.