A Comparison of Neuroelectrophysiology Databases

• Main Authors: Subash, Priyanka, Gray, Alex, Boswell, Misque, Cohen, Samantha L, Garner, Rachael, Salehi, Sana, Fisher, Calvary, Hobel, Samuel, Ghosh, Satrajit, Halchenko, Yaroslav, Dichter, Benjamin, Poldrack, Russell A, Markiewicz, Chris, Hermes, Dora, Delorme, Arnaud, Makeig, Scott, Behan, Brendan, Sparks, Alana, Arnott, Stephen R, Wang, Zhengjia, Magnotti, John, Beauchamp, Michael S, Pouratian, Nader, Toga, Arthur W, Duncan, Dominique
• Format: Journal Article
• Language: English
• Published: 26-06-2023
• Subjects: Computer Science - Databases; Quantitative Biology - Quantitative Methods
• DOI: 10.48550/arxiv.2306.15041

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.