Neurodatascience: Past, Present, and Future

The study of the brain is a compelling example of the power of convergent science. Over the last few decades, advances in neuroscience techniques and experimentation, as well as in data science tools to analyze the resulting data, have dramatically furthered our understanding of fundamental brain functions. Historically, it has been common for analytical approaches to have a considerable lag in development following the availability of new neuroscience techniques. However, this relationship has not simply been unidirectional, as there have been examples in which analytical developments have directly led to new scientific questions and experiments. Here we review how this interplay between neuroscience and data science advances has unfolded in the past and into the present, with a focus on electrophysiology and calcium imaging. Applying lessons learned from the past and present, we then discuss expected developments, challenges, and opportunities in the future. We end by providing recommendations on how to foster the necessary team science approach to continue the advancement of research at the intersection of neuroscience and data science, which we call neurodatascience, toward a sustainable future.

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Publication Details

Journal
Data Science in Science
Published
2026-04-17
DOI
https://doi.org/10.1080/26941899.2026.2619222
Primary Topic
Neurology and Historical Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Neurodatascience: Past, Present, and Future

Babak Shahbaba, Keiland W Cooper, Norbert J. Fortin
Data Science in Science
Neurology and Historical Studies
article

Neurodatascience: Past, Present, and Future

Babak Shahbaba, Keiland W Cooper, Norbert J. Fortin
article en

Abstract

The study of the brain is a compelling example of the power of convergent science. Over the last few decades, advances in neuroscience techniques and experimentation, as well as in data science tools to analyze the resulting data, have dramatically furthered our understanding of fundamental brain functions. Historically, it has been common for analytical approaches to have a considerable lag in development following the availability of new neuroscience techniques. However, this relationship has not simply been unidirectional, as there have been examples in which analytical developments have directly led to new scientific questions and experiments. Here we review how this interplay between neuroscience and data science advances has unfolded in the past and into the present, with a focus on electrophysiology and calcium imaging. Applying lessons learned from the past and present, we then discuss expected developments, challenges, and opportunities in the future. We end by providing recommendations on how to foster the necessary team science approach to continue the advancement of research at the intersection of neuroscience and data science, which we call neurodatascience, toward a sustainable future.

Data Science in ScienceVol. 5(1)
University of California, Irvine (US)
National Institutes of Health
Openalex Percentile: Top 18%
Neurology and Historical Studies
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