Open Data In Neurophysiology: Advancements, Solutions & Challenges
Colleen J Gillon1, Cody Baker2,3, Ryan Ly4
1Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom.
Eneuro
|November 20, 2025
Summary
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.
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.
