A comparison of neuroelectrophysiology databases

Priyanka Subash; Alex Gray; Misque Boswell; Samantha L. Cohen; Rachael Garner; Sana Salehi; Calvary Fisher; Samuel Hobel; Satrajit Ghosh; Yaroslav Halchenko; Benjamin Dichter; Russell A. Poldrack; Chris Markiewicz; Dora Hermes; Arnaud Delorme; Scott Makeig; Brendan Behan; Alana Sparks; Stephen R. Arnott; Zhengjia Wang; John Magnotti; Michael S. Beauchamp; Nader Pouratian; Arthur W. Toga; Dominique Duncan

doi:10.1038/s41597-023-02614-0

A comparison of neuroelectrophysiology databases

Priyanka Subash, Alex Gray, Misque Boswell, Samantha L. Cohen, Rachael Garner, Sana Salehi, Calvary Fisher, Samuel Hobel, Satrajit Ghosh, Yaroslav Halchenko, Benjamin Dichter, Russell A. Poldrack, Chris Markiewicz, Dora Hermes, Arnaud Delorme, Scott Makeig, Brendan Behan, Alana Sparks, Stephen R. Arnott, Zhengjia WangJohn Magnotti, Michael S. Beauchamp, Nader Pouratian, Arthur W. Toga, Dominique Duncan

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Article number	719
Journal	Scientific Data
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41597-023-02614-0
State	Published - Dec 2023

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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Subash, P., Gray, A., Boswell, M., Cohen, S. L., Garner, R., Salehi, S., Fisher, C., Hobel, S., Ghosh, S., Halchenko, Y., Dichter, B., Poldrack, R. A., Markiewicz, C., Hermes, D., Delorme, A., Makeig, S., Behan, B., Sparks, A., Arnott, S. R., ... Duncan, D. (2023). A comparison of neuroelectrophysiology databases. Scientific Data, 10(1), Article 719. https://doi.org/10.1038/s41597-023-02614-0

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 2023, 'A comparison of neuroelectrophysiology databases', Scientific Data, vol. 10, no. 1, 719. https://doi.org/10.1038/s41597-023-02614-0

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AU - Wang, Zhengjia

AU - Magnotti, John

AU - Beauchamp, Michael S.

AU - Pouratian, Nader

AU - Toga, Arthur W.

AU - Duncan, Dominique

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A comparison of neuroelectrophysiology databases

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