Cargando…
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: | , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587056/ https://www.ncbi.nlm.nih.gov/pubmed/37857685 http://dx.doi.org/10.1038/s41597-023-02614-0 |
_version_ | 1785123274794991616 |
---|---|
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-10587056 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105870562023-10-21 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 Sci Data 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. Nature Publishing Group UK 2023-10-19 /pmc/articles/PMC10587056/ /pubmed/37857685 http://dx.doi.org/10.1038/s41597-023-02614-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
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/PMC10587056/ https://www.ncbi.nlm.nih.gov/pubmed/37857685 http://dx.doi.org/10.1038/s41597-023-02614-0 |
work_keys_str_mv | AT subashpriyanka acomparisonofneuroelectrophysiologydatabases AT grayalex acomparisonofneuroelectrophysiologydatabases AT boswellmisque acomparisonofneuroelectrophysiologydatabases AT cohensamanthal acomparisonofneuroelectrophysiologydatabases AT garnerrachael acomparisonofneuroelectrophysiologydatabases AT salehisana acomparisonofneuroelectrophysiologydatabases AT fishercalvary acomparisonofneuroelectrophysiologydatabases AT hobelsamuel acomparisonofneuroelectrophysiologydatabases AT ghoshsatrajit acomparisonofneuroelectrophysiologydatabases AT halchenkoyaroslav acomparisonofneuroelectrophysiologydatabases AT dichterbenjamin acomparisonofneuroelectrophysiologydatabases AT poldrackrussella acomparisonofneuroelectrophysiologydatabases AT markiewiczchris acomparisonofneuroelectrophysiologydatabases AT hermesdora acomparisonofneuroelectrophysiologydatabases AT delormearnaud acomparisonofneuroelectrophysiologydatabases AT makeigscott acomparisonofneuroelectrophysiologydatabases AT behanbrendan acomparisonofneuroelectrophysiologydatabases AT sparksalana acomparisonofneuroelectrophysiologydatabases AT arnottstephenr acomparisonofneuroelectrophysiologydatabases AT wangzhengjia acomparisonofneuroelectrophysiologydatabases AT magnottijohn acomparisonofneuroelectrophysiologydatabases AT beauchampmichaels acomparisonofneuroelectrophysiologydatabases AT pouratiannader acomparisonofneuroelectrophysiologydatabases AT togaarthurw acomparisonofneuroelectrophysiologydatabases AT duncandominique acomparisonofneuroelectrophysiologydatabases AT subashpriyanka comparisonofneuroelectrophysiologydatabases AT grayalex comparisonofneuroelectrophysiologydatabases AT boswellmisque comparisonofneuroelectrophysiologydatabases AT cohensamanthal comparisonofneuroelectrophysiologydatabases AT garnerrachael comparisonofneuroelectrophysiologydatabases AT salehisana comparisonofneuroelectrophysiologydatabases AT fishercalvary comparisonofneuroelectrophysiologydatabases AT hobelsamuel comparisonofneuroelectrophysiologydatabases AT ghoshsatrajit comparisonofneuroelectrophysiologydatabases AT halchenkoyaroslav comparisonofneuroelectrophysiologydatabases AT dichterbenjamin comparisonofneuroelectrophysiologydatabases AT poldrackrussella comparisonofneuroelectrophysiologydatabases AT markiewiczchris comparisonofneuroelectrophysiologydatabases AT hermesdora comparisonofneuroelectrophysiologydatabases AT delormearnaud comparisonofneuroelectrophysiologydatabases AT makeigscott comparisonofneuroelectrophysiologydatabases AT behanbrendan comparisonofneuroelectrophysiologydatabases AT sparksalana comparisonofneuroelectrophysiologydatabases AT arnottstephenr comparisonofneuroelectrophysiologydatabases AT wangzhengjia comparisonofneuroelectrophysiologydatabases AT magnottijohn comparisonofneuroelectrophysiologydatabases AT beauchampmichaels comparisonofneuroelectrophysiologydatabases AT pouratiannader comparisonofneuroelectrophysiologydatabases AT togaarthurw comparisonofneuroelectrophysiologydatabases AT duncandominique comparisonofneuroelectrophysiologydatabases |