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A perspective on neuroscience data standardization with Neurodata Without Borders

Neuroscience research has evolved to generate increasingly large and complex experimental data sets, and advanced data science tools are taking on central roles in neuroscience research. Neurodata Without Borders (NWB), a standard language for neurophysiology data, has recently emerged as a powerful...

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Autores principales: Pierré, Andrea, Pham, Tuan, Pearl, Jonah, Datta, Sandeep Robert, Ritt, Jason T., Fleischmann, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cornell University 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593085/
https://www.ncbi.nlm.nih.gov/pubmed/37873012
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author Pierré, Andrea
Pham, Tuan
Pearl, Jonah
Datta, Sandeep Robert
Ritt, Jason T.
Fleischmann, Alexander
author_facet Pierré, Andrea
Pham, Tuan
Pearl, Jonah
Datta, Sandeep Robert
Ritt, Jason T.
Fleischmann, Alexander
author_sort Pierré, Andrea
collection PubMed
description Neuroscience research has evolved to generate increasingly large and complex experimental data sets, and advanced data science tools are taking on central roles in neuroscience research. Neurodata Without Borders (NWB), a standard language for neurophysiology data, has recently emerged as a powerful solution for data management, analysis, and sharing. We here discuss our labs’ efforts to implement NWB data science pipelines. We describe general principles and specific use cases that illustrate successes, challenges, and non-trivial decisions in software engineering. We hope that our experience can provide guidance for the neuroscience community and help bridge the gap between experimental neuroscience and data science.
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spelling pubmed-105930852023-10-24 A perspective on neuroscience data standardization with Neurodata Without Borders Pierré, Andrea Pham, Tuan Pearl, Jonah Datta, Sandeep Robert Ritt, Jason T. Fleischmann, Alexander ArXiv Article Neuroscience research has evolved to generate increasingly large and complex experimental data sets, and advanced data science tools are taking on central roles in neuroscience research. Neurodata Without Borders (NWB), a standard language for neurophysiology data, has recently emerged as a powerful solution for data management, analysis, and sharing. We here discuss our labs’ efforts to implement NWB data science pipelines. We describe general principles and specific use cases that illustrate successes, challenges, and non-trivial decisions in software engineering. We hope that our experience can provide guidance for the neuroscience community and help bridge the gap between experimental neuroscience and data science. Cornell University 2023-10-06 /pmc/articles/PMC10593085/ /pubmed/37873012 Text en https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. If you remix, adapt, or build upon the material, you must license the modified material under identical terms.
spellingShingle Article
Pierré, Andrea
Pham, Tuan
Pearl, Jonah
Datta, Sandeep Robert
Ritt, Jason T.
Fleischmann, Alexander
A perspective on neuroscience data standardization with Neurodata Without Borders
title A perspective on neuroscience data standardization with Neurodata Without Borders
title_full A perspective on neuroscience data standardization with Neurodata Without Borders
title_fullStr A perspective on neuroscience data standardization with Neurodata Without Borders
title_full_unstemmed A perspective on neuroscience data standardization with Neurodata Without Borders
title_short A perspective on neuroscience data standardization with Neurodata Without Borders
title_sort perspective on neuroscience data standardization with neurodata without borders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10593085/
https://www.ncbi.nlm.nih.gov/pubmed/37873012
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