A comparison of neuroelectrophysiology databases

Author:

Subash Priyanka,Gray Alex,Boswell Misque,Cohen Samantha L.ORCID,Garner Rachael,Salehi Sana,Fisher Calvary,Hobel Samuel,Ghosh SatrajitORCID,Halchenko YaroslavORCID,Dichter Benjamin,Poldrack Russell A.,Markiewicz ChrisORCID,Hermes DoraORCID,Delorme Arnaud,Makeig Scott,Behan BrendanORCID,Sparks Alana,Arnott Stephen R,Wang ZhengjiaORCID,Magnotti John,Beauchamp Michael S.,Pouratian Nader,Toga Arthur W.,Duncan DominiqueORCID

Abstract

AbstractAs data sharing has become more prevalent, three pillars - archives, standards, and analysis tools - have emerged as critical components in facilitating effective data sharing and collaboration. This paper compares four freely available intracranial neuroelectrophysiology data repositories: Data Archive for the BRAIN Initiative (DABI), Distributed Archives for Neurophysiology Data Integration (DANDI), OpenNeuro, and Brain-CODE. The aim of this review is to describe archives that provide researchers with tools to store, share, and reanalyze both human and non-human neurophysiology data based on criteria that are of interest to the neuroscientific community. The Brain Imaging Data Structure (BIDS) and Neurodata Without Borders (NWB) are utilized by these archives to make data more accessible to researchers by implementing a common standard. As the necessity for integrating large-scale analysis into data repository platforms continues to grow within the neuroscientific community, this article will highlight the various analytical and customizable tools developed within the chosen archives that may advance the field of neuroinformatics.

Funder

U.S. Department of Health & Human Services | National Institutes of Health

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference54 articles.

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