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.

翻译：随着数据共享日益普及，数据仓库、标准规范与分析工具三大支柱已成为促进有效数据共享与协作的关键组成部分。本文比较了四个免费公开的颅内神经电生理学数据存储库：BRAIN计划数据档案库（DABI）、神经生理学数据集成分布式档案库（DANDI）、OpenNeuro以及Brain-CODE。本综述旨在基于神经科学界关注的标准，描述为研究人员提供存储、共享及再分析人类与非人类神经生理学数据工具的数据库。这些存储库采用脑成像数据结构（BIDS）与无边界神经数据（NWB）标准，通过实施通用规范使数据更易被研究者获取。随着神经科学领域对将大规模分析集成至数据仓库平台的需求日益增长，本文将重点阐述所选数据库中开发的可推进神经信息学发展的各类分析与定制化工具。