Project: Canadian Open Neuroscience Platform
Description: The platform aims to provide a unified interface to the research community and will propel Canadian neuroscience research into a new era of open neuroscience research with the sharing of both data and methods, the creation of large-scale databases, the development of standards for sharing, the facilitation of advanced analytic strategies, the open dissemination to the global community of both neuroscience data and methods, and the establishment of training programs for the next generation of computational n
Project: INCF German Neuroinformatics Node
Description: The INCF German Neuroinformatics Node focuses on the development and free distribution of tools for handling and analyzing neurophysiological data, G-Node aims at addressing these aspects as part of the International Neuroinformatics Coordinating Facility (INCF) and the German Bernstein Network for Computational Neuroscience (NNCN).
Project: Neuroscience Information Framework
Description: The Neuroscience Information Framework is a dynamic inventory of Web-based neuroscience resources: data, materials, and tools accessible via any computer connected to the Internet. An initiative of the NIH Blueprint for Neuroscience Research, NIF advances neuroscience research by enabling discovery and access to public research data and tools worldwide through an open source, networked environment.
Project: A Confocal Fluorescence Microscopy Brain Data Archive
Description: Advances in microscopy and imaging have created new possibilities in many fields of research, but these advances have also generated large amounts of data that can overwhelm traditional data management systems. Along with collaborators at Carnegie Mellon University and the University of Pittsburgh, Alexander Ropelewski plans to establish a BRAIN Imaging Archive that takes advantage of infrastructure and personnel resources at the Pittsburgh Supercomputing Center.
Project: A data science toolbox for analysis of Human Connectome Project diffusion MRI
Description: The Human Connectome Project provides one of the largest publicly available datasets of diffusion MRI from a sample of healthy individuals. Dr. Rokem and team will create an end-to-end pipeline for analysis of human white matter connections by using “tractometry” methods to analyze the diffusion MRI dataset from the Human Connectome Project. In tractometry, tissue properties are estimated in the long-range connections between remote brain regions.
Project: DANDI: Distributed Archives for Neurophysiology Data Integration
Description: This project proposes to build DANDI: Distributed Archives for Neurophysiology Data Integration for scientists to share, collaborate, and process data from neurophysiology experiments. It builds on the NWB:N data format.
Project: Data Archive for the Brain Initiative (DABI)
Description: This project for a Data Archive for the Brain Initiative (DABI) aims to develop web-accessible data archives to capture, store, and curate data related to the BRAIN Initiative proposals that collect invasive human neurophysiological data and make them broadly available and accessible to the research community for furthering research. Data will include electrophysiology, imaging, behavioral, and clinical data with all pertinent recording and imaging parameters coming from the participating sites.
Project: The Neuroimaging Data Model: FAIR descriptors of Brain Initiative Imaging Experiments
Description: Inconsistent terminologies of neuroimaging metadata prevent the precise description of the design and intent of an experiment, experimental subject characteristics, and the data acquired. Dr. Keator and colleagues aim to address this problem by developing human neuroimaging domain-specific controlled vocabularies.
Project: NWB:N: A Data Standard and Software Ecosystem for Neurophysiology
Description: The neurophysiology field is currently held back by the lack of standards for neurophysiology data and related metadata to enable broad reproduction, interchange, and reuse. The pilot project Neurodata Without Borders: Neurophysiology established a first unified, extensible, open-source data format for cellular-based neurophysiology data.
Prof. Gary Egan is the Foundation Director of the Monash Biomedical Imaging (MBI) research facilities and a Distinguished Professor in the Monash University Institute for Cognitive and Clinical Neurosciences. The MBI research infrastructure includes a 3 Tesla MR scannerand a simultaneous MR-PET scannerfor human research, and ultrahigh field 9.4 Tesla MRIand numerous other scanners for preclinical research.