As 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.
@article{arxiv.2306.15041,
title = {A Comparison of Neuroelectrophysiology Databases},
author = {Priyanka Subash and Alex Gray and Misque Boswell and Samantha L. Cohen and Rachael Garner and Sana Salehi and Calvary Fisher and Samuel Hobel and Satrajit Ghosh and Yaroslav Halchenko and Benjamin Dichter and Russell A. Poldrack and Chris Markiewicz and Dora Hermes and Arnaud Delorme and Scott Makeig and Brendan Behan and Alana Sparks and Stephen R Arnott and Zhengjia Wang and John Magnotti and Michael S. Beauchamp and Nader Pouratian and Arthur W. Toga and Dominique Duncan},
journal= {arXiv preprint arXiv:2306.15041},
year = {2023}
}