brainlife.io: a decentralized and open-source cloud platform to support neuroscience research
Soichi Hayashi, Bradley Caron, Anibal Sólon Heinsfeld, Sophia Vinci‐Booher, Brent McPherson, Daniel Bullock, Giulia Bertò, Guiomar Niso, Sandra Hanekamp, Daniel Levitas, Kimberly L. Ray, A. Mackenzie, Paolo Avesani, Lindsey Kitchell, Josiah K. Leong, Filipi N. Silva, Serge Koudoro, Hanna E. Willis, Jasleen K. Jolly, Derek Pisner, Taylor R. Zuidema, Jan W. Kurzawski, Kyriaki Mikellidou, Aurore Bussalb, Maximilien Chaumon, Nathalie George, Chris Rorden, Conner Victory, Dheeraj Bhatia, Dogu Baran Aydogan, Fang‐Cheng Yeh, Franco Delogu, Javier Guaje, Jelle Veraart, Jeremy Fischer, Joshua Faskowitz, Ricardo Fábrega, David Hunt, S. P. Mc Kee, Shawn T. Brown, Stephanie Heyman, Vittorio Iacovella, Amanda F. Mejia, Daniele Marinazzo, R. Cameron Craddock, Emanuale Olivetti, Jamie L. Hanson, Eleftherios Garyfallidis, Dan Stanzione, James P. Carson, Robert Henschel, David Y. Hancock, Craig A. Stewart, David M. Schnyer, Damian Eke, Russell A. Poldrack, Steffen Bollmann, Ashley Stewart, Holly Bridge, Ilaria Sani, Winrich A. Freiwald, Aina Puce, Nicholas Port, Franco Pestilli
Abstract
Neuroscience is advancing standardization and tool development to support rigor and transparency. Consequently, data pipeline complexity has increased, hindering FAIR (findable, accessible, interoperable and reusable) access. brainlife.io was developed to democratize neuroimaging research. The platform provides data standardization, management, visualization and processing and automatically tracks the provenance history of thousands of data objects. Here, brainlife.io is described and evaluated for validity, reliability, reproducibility, replicability and scientific utility using four data modalities and 3,200 participants.