BD2K FOA: RFA-LM-17-001 “Big Data to Knowledge (BD2K) Enhancing the Efficiency and Effectiveness of Digital Curation for Biomedical Big Data (U01)”. NIH wishes to accelerate the availability and re-use of biomedical research data by transforming the processes used to curate digital data assets that are the product of biomedical research.  Applications due December 15, 2016. Please share this opportunity with your interested scientific communities.

• RFI: Metrics to Assess Value of Biomedical Digital Repositories, Notice Number: NOT-OD-16-133.
• NIH Request for Information (RFI): NOT-OD-16-133 “Metrics to Assess Value of Biomedical Digital Repositories”.

Synopsis of Program:

This FOA solicits new theories, computational models, and statistical methods to derive understanding of brain function from complex neuroscience data.  Approaches could include the creation of new theories, ideas, and conceptual frameworks to organize/unify data and infer general principles of brain function; new computational models to develop testable hypotheses and design/drive experiments; and new mathematical and statistical methods to support or refute a stated hypothesis about brain function, and/or assist in detecting features in complex brain data.  It is expected that the approac

This FOA is intended to increase the breadth and scope of topics that can be addressed with systems science methodologies. This FOA calls for research projects that are applied and/or basic in nature (including methodological and measurement development), have a human behavioral and/or social science focus, and employ methodologies suited to addressing the complexity inherent in behavioral and social phenomena, referred to as systems science methodologies.

This FOA is intended to increase the breadth and scope of topics that can be addressed with systems science methodologies. This FOA calls for research projects that are applied and/or basic in nature (including methodological and measurement development), have a human behavioral and/or social science focus, and employ methodologies suited to addressing the complexity inherent in behavioral and social phenomena, referred to as systems science methodologies.

The purpose of this FOA is to promote the integration of experimental, analytic, and theoretical capabilities for large-scale analysis of neural systems and circuits. This FOA seeks applications for exploratory research studies that use new and emerging methods for large scale recording and manipulation of neural circuits across multiple brain regions.