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Brain Summit participants

Oliver Ruebel
Lawrence Berkeley National Laboratory

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. This project will further extend the usefulness of the NWB:N data format by developing and maintaining an accessible and sustainable open source software ecosystem around the data format, with methods for integration of controlled vocabularies, provenance and modeling of data relationships.The project will also develop tools for facilitating community adoption, extension, and curation of NWB:N.

David Keator
University of California, Irvine

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. This will greatly improve our ability to search across datasets; to reuse, compare and integrate data across studies and sites; and to replicate neuroscience findings. They also aim to promote the adoption of the controlled vocabularies through community engagement.

Arthur Toga
University of Southern California

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. This involves receiving and de-identifying data of various modalities from the participating sites, incorporating analysis tools previously developed at LONI and elsewhere, managing the data access systems, providing user interfaces to explore, visualize, interpret, and download the data, and providing comprehensive information about the projects and corresponding data through the public website that will be developed specifically for DABI.

Satra Ghosh
Massachusetts Institute of Technology

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.

Ariel Rokem
University of Washington

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. This project aims to generate a normative distribution of tissue properties in the major white matter connections, develop novel statistical methods to connect the properties of white matter connections to cognitive abilities, and create visualization tools to further explore and communicate the data. These tools may create an easily accessible platform that could be applied to other important neuroscience datasets.

Alexander Ropelewski
Pittsburgh Supercomputing Center

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. The Archive will include a pipeline for data submission, user access and support, and BRAIN Initiative community engagement through an online presence, workshops, and hackathons. This unique resource will provide an accessible and cost-effective way for the research community to analyze, share, and interact with large image datasets of the BRAIN Initiative.

Jeffrey Grethe
University of California, San Diego, USA

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.

Thomas Wachtler
Ludwig Maximilian University of Munic

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).

Jean-Baptiste Poline
McGill University

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 neuroscience researchers. CONP aims to remove the technical barriers to practicing open science and improve the accessibility and reusability of neuroscience research to accelerate the pace of discovery.

Jan Bjaalie
University of Oslo

Project: EBRAINS, Human Brain Project

Description: EBRAINS is a platform providing tools and services which can be used to address challenges in brain research and brain-inspired technology development. Its components are designed with, by, and for researchers. The tools assist scientists to collect, analyse, share, and integrate brain data, and to perform modelling and simulation of brain function. This EBRAINS web platform is the entry point for researchers to discover EBRAINS services. The services were developed by, and are powered by the EU-funded Human Brain Project.

Maryann Martone
University of California, San Diego, USA

Project: International Neuroinformatics Coordinating Facility (INCF)

Description: The mission of INCF is to develop, evaluate, and endorse standards and best practices that embrace the principles of Open, FAIR, and Citable neuroscience. INCF also provides training on how standards and best practices facilitate reproducibility and enables the publishing of the entirety of research output, including data and code.