A Comparison of Neuroelectrophysiology Databases

TL;DR

This paper compares four major neuroelectrophysiology data repositories, highlighting their standards, tools, and potential to enhance data sharing and analysis in neuroscience.

Contribution

It provides a comprehensive comparison of four neuroelectrophysiology databases, emphasizing standards like BIDS and NWB to facilitate data sharing and integration.

Findings

All repositories support BIDS and NWB standards.

Repositories offer diverse analysis and customization tools.

The review highlights growth in large-scale data integration.

Abstract

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.