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2023 journal review Sci Data

A comparison of neuroelectrophysiology databases

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

Identifiers and access

DOI
10.1038/s41597-023-02614-0
arXiv
2306.15041
PubMed
37857685
PMC
PMC10587056
PDF
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Cited by
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Key findings

This review compares four intracranial neuroelectrophysiology repositories — DABI, DANDI, OpenNeuro, and Brain-CODE — describing how each supports BIDS and NWB standards and what analytical and customisation tools they offer to advance neuroinformatics.

Abstract

Source: pubmed

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.

Topics

  • open-data-standards

Lab authors

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