A comparison of neuroelectrophysiology databases.
A comparison of neuroelectrophysiology databases.
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DOI：
10.1038/s41597-023-02614-0
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发表时间：
2023-10-19
期刊：
影响因子：
9.8
通讯作者：
Duncan D
中科院分区：
文献类型：
--
作者：
Subash P;Gray A;Boswell M;Cohen SL;Garner R;Salehi S;Fisher C;Hobel S;Ghosh S;Halchenko Y;Dichter B;Poldrack RA;Markiewicz C;Hermes D;Delorme A;Makeig S;Behan B;Sparks A;Arnott SR;Wang Z;Magnotti J;Beauchamp MS;Pouratian N;Toga AW;Duncan D
随着数据共享变得越来越普遍，三大支柱--档案、标准和分析工具--已成为促进有效数据共享和协作的关键组成部分。本文比较了四个免费提供的颅内神经电生理数据库：脑倡议数据档案（DABI），神经生理数据集成分布式档案（DANDI），OpenNeuro和Brain-CODE。这篇综述的目的是描述档案，为研究人员提供工具来存储，共享和重新分析人类和非人类神经生理学数据的基础上的标准是感兴趣的神经科学界。脑成像数据结构（BIDS）和神经数据无国界（NWB）被这些档案馆利用，通过实施一个共同的标准，使数据更容易被研究人员访问。随着将大规模分析集成到数据存储库平台的必要性在神经科学界不断增长，本文将重点介绍在所选档案中开发的各种分析和可定制工具，这些工具可能会推动神经信息学领域的发展。
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.
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