"The goal of this concept is to continue supporting an integrated BRAIN® Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) that will (i) enable the exploration of large-scale brain cell atlas data and knowledge, (ii) inspire research in brain function and disorders, and (iii) ensure research rigor and data reproducibility by making the data Findable, Accessible, Interoperable, and Reusable (FAIR)."
"The BRAIN Initiative 2.0 Advisory Committee to the NIH Director recommended that NIH 'generate a comprehensive cell-type atlas in the human brain' and 'establish a data ecosystem for cell types allowing the integration of different facets of neuronal phenotype.' Rich multimodal brain cell molecular, anatomical, and physiological data have been generated by the BRAIN Initiative Cell Census and Atlas Networks (BICCN, BICAN) since the inception in 2014."
"One of the strategic goals of the BRAIN Initiative is to develop an overarching BRAIN Data Commons that encompasses federated domain-specific data archives and knowledge bases to bring together these multimodal datasets to enable discovery and hypothesis-driven research by the scientific community."
The BRAIN Initiative Cell Atlas Network (BICAN) Coordinating Unit for Biostatistics, Informatics, and Engagement (CUBIE) continues supporting integrated efforts to explore large-scale brain cell atlas data and advance brain function and disorder research. CUBIE ensures research rigor and data reproducibility by implementing FAIR principles—making data Findable, Accessible, Interoperable, and Reusable. The initiative builds consensus brain cell taxonomies, ontologies, and community data standards. Since 2014, the BRAIN Initiative has generated rich multimodal brain cell molecular, anatomical, and physiological data through BICCN and BICAN networks. These datasets require full integration to generate insights into brain function and disease. CUBIE represents the first step toward a unified BRAIN Data Commons, encompassing federated domain-specific data archives and knowledge bases to enable discovery and hypothesis-driven research across the scientific community.
Read at National Institute of Mental Health (NIMH)
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