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A Comparison of Neuroelectrophysiology Databases
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 Arc...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cornell University
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327244/ https://www.ncbi.nlm.nih.gov/pubmed/37426452 |
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author | Subash, Priyanka Gray, Alex Boswell, Misque Cohen, Samantha L. Garner, Rachael Salehi, Sana Fisher, Calvary Hobel, Samuel Ghosh, Satrajit Halchenko, Yaroslav Dichter, Benjamin Poldrack, Russell A. Markiewicz, Chris Hermes, Dora Delorme, Arnaud Makeig, Scott Behan, Brendan Sparks, Alana Arnott, Stephen R Wang, Zhengjia Magnotti, John Beauchamp, Michael S. Pouratian, Nader Toga, Arthur W. Duncan, Dominique |
author_facet | Subash, Priyanka Gray, Alex Boswell, Misque Cohen, Samantha L. Garner, Rachael Salehi, Sana Fisher, Calvary Hobel, Samuel Ghosh, Satrajit Halchenko, Yaroslav Dichter, Benjamin Poldrack, Russell A. Markiewicz, Chris Hermes, Dora Delorme, Arnaud Makeig, Scott Behan, Brendan Sparks, Alana Arnott, Stephen R Wang, Zhengjia Magnotti, John Beauchamp, Michael S. Pouratian, Nader Toga, Arthur W. Duncan, Dominique |
author_sort | Subash, Priyanka |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10327244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cornell University |
record_format | MEDLINE/PubMed |
spelling | pubmed-103272442023-07-08 A Comparison of Neuroelectrophysiology Databases Subash, Priyanka Gray, Alex Boswell, Misque Cohen, Samantha L. Garner, Rachael Salehi, Sana Fisher, Calvary Hobel, Samuel Ghosh, Satrajit Halchenko, Yaroslav Dichter, Benjamin Poldrack, Russell A. Markiewicz, Chris Hermes, Dora Delorme, Arnaud Makeig, Scott Behan, Brendan Sparks, Alana Arnott, Stephen R Wang, Zhengjia Magnotti, John Beauchamp, Michael S. Pouratian, Nader Toga, Arthur W. Duncan, Dominique ArXiv Article 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. Cornell University 2023-08-30 /pmc/articles/PMC10327244/ /pubmed/37426452 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Subash, Priyanka Gray, Alex Boswell, Misque Cohen, Samantha L. Garner, Rachael Salehi, Sana Fisher, Calvary Hobel, Samuel Ghosh, Satrajit Halchenko, Yaroslav Dichter, Benjamin Poldrack, Russell A. Markiewicz, Chris Hermes, Dora Delorme, Arnaud Makeig, Scott Behan, Brendan Sparks, Alana Arnott, Stephen R Wang, Zhengjia Magnotti, John Beauchamp, Michael S. Pouratian, Nader Toga, Arthur W. Duncan, Dominique A Comparison of Neuroelectrophysiology Databases |
title | A Comparison of Neuroelectrophysiology Databases |
title_full | A Comparison of Neuroelectrophysiology Databases |
title_fullStr | A Comparison of Neuroelectrophysiology Databases |
title_full_unstemmed | A Comparison of Neuroelectrophysiology Databases |
title_short | A Comparison of Neuroelectrophysiology Databases |
title_sort | comparison of neuroelectrophysiology databases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327244/ https://www.ncbi.nlm.nih.gov/pubmed/37426452 |
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