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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Bibliographic Details
Published in:ArXiv.org 2024-01
Main Authors: Pierré, Andrea, Pham, Tuan, Pearl, Jonah, Datta, Sandeep Robert, Ritt, Jason T, Fleischmann, Alexander
Format: Article
Language:English
Online Access:Get full text
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Summary: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.
ISSN:2331-8422
2331-8422