# A perspective on neuroscience data standardization with Neurodata Without Borders

arXiv: https://arxiv.org/abs/2310.04317 · HTML: https://mlsanity.com/paper/2310.04317/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Oct 2023.

## Built on by (most cited first, 1 of 1)

- [Neurodata Without Boredom: Benchmarking Agentic AI for Data Reuse](https://mlsanity.com/paper/2605.12808/) (2026)

## Abstract (arXiv)

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 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.