Engagement and education in Big Data, reproducible neuroscience

Brain Data Analysis

Accelerate discovery through a seemless access to various cloud computing resources.

Sharing Data and Apps

Upload data and share your Apps with other users from different insitutions and scientific domains.

Publishing Results

Publish your research results with a single DOI with a full data provenance for a better reproducibility.

Analyze and visualize.

Try the Brainlife Apps. Apps are open cloud services. Use the Apps to easily analyze data, monitor progress, visualize your results and share them with other users.


Upcycle data and code.

Upload new data or access available data to implement innovative studies and analyses. Data and Apps are conveniently organized into open or private projects shared among users.

Register your code, algorithms and visualization tools as Apps. Increase the impact of your work by letting collaborators or the whole users community easily reuse your research products.


Publish your value.

Increase the impact of your work by using an innovative publishing mechanism. Embed all your research assets, data and analyses, in a reusable cloud format.

Brainlife provides mechanisms to share your full research workflow "runnable" on the Cloud, letting collaborators or the whole user community easily reuse your research products.

Brainlife is for Everyone!

Brainlife reaches out beyond neuroscience. It allows computer scientists, statisticians and engineers interested in brain data to use the data to publish their methods and get credit for their work.

Brain Lovers

Psychologists and neuroscientists can use cloud computing to understand the brain and behavior.

Apps Gurus

Computer scientists and engineers can use published data and applications to develop algorithms and computing methods.

Data Wizards

Statisticians and data scientists can use available data and derivatives to gather new insights into individuality and variability in human populations.

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Neuroscience is engaging at the forefront of science by dissolving disciplinary boundaries and promoting transdisciplinary research. This process can facilitate discovery by convergent efforts from theoretical, experimental and cognitive neuroscience, as well as computer science and engineering.

To assure the success of this process, the current lack of established mechanisms to promote open sharing data, software and scientific results must be overcome. Promoting open software and data sharing has become paramount to addressing the problem of scientific reproducibility.

We address challenges in the neuroscience of open sharing and reproducibility by providing integrative mechanisms for publishing data, and algorithms while embedding them with computing resources to impact multiple scientific communities.

   .. seamless public access to data, computing, and reproducible algorithms, while promoting code sharing and upcycling the long tail of neuroscience data. - NSF BCS-1734853

A global multidisciplinary collaboration

Sixty-six collaborators from global scientific communities contribute to the project by providing data, applications, technology and products to advance understanding the human brain.

Partners and collaborators

Beijing Normal University • Boston University • Fondazione Bruno Kessler • Harvard Medical School • Illinois Institute of Technology • Indiana University Bloomington • Indiana University School of Medicine • Indiana University-Purdue University Indianapolis • Indiana Unversity Bloomington • Italian Institute of Technology • Massachusetts Institute of Technology • National Institute of Information and Communication Technology • Northwestern University • Stanford University • The Jikei University School of Medicine • The Rockefeller University • The University of Washington • University Medical Center Groningen • University of Michigan • University of Oxford

Research areas and applications

Cognitive Neuroscience and Learning • Systems Neuroscience • Medical Sciences • Database for neuroimaging data management • Neuroinformatics • Neuroradiology • Biomedical Engineering • Scientific community tools • Information technology • Network neuroscience • Cognitive neuroscience of language • Statistics • Aging & social cognition research • Brain development • Psychological and brain sciences • Vision science and sports concussion research • Informatics and computing • Electrical engineering • Optometry • Computer science • Clinical neuroscience • Neuroimaging and radiology • Alzheimer disease and aging research • Rodent models • Computer Science • Computational neuroanatomy • Decision making and Neuroeconomics • Traumatic brain imaging • Visual brain development • Visual neuroscience and development • Ophthalmology • Systems neuroscience • Data Science • Big data and statistics • Clinical visual neurosciences

   The Brainlife platform is phenomenal. A great idea, great execution. It reminds me of Wikipedia when it started… now it is essential to almost everyone. - Tatiana Wolfe, The Ohio State University.

The Brainlife team

Franco Pestilli
Project Director
Lindsey Kitchell
Graduate Student
Brent McPherson
Graduate Student
Bradley Caron
Graduate Student
Dan Bullock
Graduate Student
Soichi Hayashi
Lead Software Engineer
Steven O'Riley
Software Engineer
Kate Alpert
Software Engineer

Key collaborators

Robert Henschel

Director of Science Community Tools at Research Technologies, Indiana University

Eleftherios Garyfallidis

Assistant Professor of Intelligent Systems Engineering, Indiana University

Lei Wang

Assistant Professor of Psychiatry and Behavioral Sciences and Radiology, Northwestern University

Ivo Dinov

Associate Director for Education and Training, Michigan Institute for Data Science, University of Michigan