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Updated: Jan 10, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

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Open Data In Neurophysiology: Advancements, Solutions & Challenges.

Colleen J Gillon¹, Cody Baker^2,3, Ryan Ly⁴

¹Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.

|November 20, 2025

Summary

This summary is machine-generated.

Open science and open data principles are transforming life sciences. This report synthesizes insights from the first Open Data in Neurophysiology (ODIN) symposium, advocating for their adoption in neuroscience to accelerate discovery.

Keywords:

code collaboration datasets neurophysiology open science sharing

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Area of Science:

Neuroscience
Life Sciences
Scientific Research

Background:

Life sciences have advanced significantly due to 50 years of increased data reproducibility and transparency.
Structural biology and genomics have seen major breakthroughs from systematic data collection and publication.

Purpose of the Study:

To advocate for the adoption of open data and open science principles in neuroscience.
To synthesize insights from the first Open Data in Neurophysiology (ODIN) symposium.
To outline plans for community growth and transparent science in neuroscience.

Main Methods:

The report synthesizes insights from the inaugural Open Data in Neurophysiology (ODIN) symposium.
It documents emerging conversations and proposes a path forward for open science in neuroscience.

Main Results:

The ODIN symposium highlighted the potential of open science to transform neuroscience.
There is a recognized need for new social structures to support open science practices in the field.

Conclusions:

Neuroscience is poised for transformative advancements through open data and open science.
Strengthening the open science community is essential for future discoveries in neurophysiology.