Our paper was born from insights gained during the first Open Data in Neurophysiology symposium (ODIN 2023). If you’re interested in the future of open neuroscience, look out for the next edition in 2027!

At the same time, institutions can implement funding frameworks that prioritize open science initiatives and recognize contributions to open neuroscience in career evaluations.

To effectively advance open neuroscience, we need both active engagement from individual researchers and supportive institutional structures. Researchers can drive change through sharing tools and datasets, fostering collaboration, and building an open science community.

Establishing and maintaining robust data infrastructure and standardized data formats are crucial for effective data sharing in neurophysiology. Initiatives like @nwb.org and @dandiarchive.org are working to make data more accessible and usable for researchers in the field.

While the advantages of open neuroscience are clear, challenges remain, especially concerning data heterogeneity and limited resources. Our paper discusses practical strategies to overcome these obstacles and facilitate better collaboration and data sharing among researchers.

Open science has revolutionized fields like structural biology and genomics, allowing for rapid advancements. We argue that by embracing open data and collaboration in neuroscience, we can gain transformative insights that can help us understand the brain better than before.

This has been a blast! Such a treat to be hosted by @hhmijanelia.bsky.social at this workshop by organized by @nwb.org! Re-analysis of open-data form @dandiarchive.org with so many talented scientists has been so much fun!