brainlife.io: a decentralized and open-source cloud platform to support neuroscience research

Hayashi, Soichi; Caron, Bradley A.; Heinsfeld, Anibal Sólon; Vinci-Booher, Sophia; McPherson, Brent; Bullock, Daniel N.; Bertò, Giulia; Niso, Guiomar; Hanekamp, Sandra; Levitas, Daniel; Ray, Kimberly; MacKenzie, Anne; Avesani, Paolo; Kitchell, Lindsey; Leong, Josiah K.; Nascimento-Silva, Filipi; Koudoro, Serge; Willis, Hanna; Jolly, Jasleen K.; Pisner, Derek; Zuidema, Taylor R.; Kurzawski, Jan W.; Mikellidou, Kyriaki; Bussalb, Aurore; Chaumon, Maximilien; George, Nathalie; Rorden, Christopher; Victory, Conner; Bhatia, Dheeraj; Aydogan, Dogu Baran; Yeh, Fang-Cheng F.; Delogu, Franco; Guaje, Javier; Veraart, Jelle; Fischer, Jeremy; Faskowitz, Joshua; Fabrega, Ricardo; Hunt, David; McKee, Shawn; Brown, Shawn T.; Heyman, Stephanie; Iacovella, Vittorio; Mejia, Amanda F.; Marinazzo, Daniele; Craddock, R. Cameron; Olivetti, Emanuale; Hanson, Jamie L.; Garyfallidis, Eleftherios; Stanzione, Dan; Carson, James; Henschel, Robert; Hancock, David Y.; Stewart, Craig A.; Schnyer, David; Eke, Damian O...

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.

• Journal Article Type: Article
• Acceptance Date: Mar 5, 2024
• Online Publication Date: Apr 11, 2024
• Publication Date: 2024-05
• Deposit Date: Apr 12, 2024
• Publicly Available Date: Apr 16, 2024
• Journal: Nature Methods
• Print ISSN: 1548-7091
• Electronic ISSN: 1548-7105
• Publisher: Nature Publishing Group
• Peer Reviewed: Peer Reviewed
• Volume: 21
• Pages: 809-813
• DOI: https://doi.org/10.1038/s41592-024-02237-2
• Keywords: Cognitive neuroscience ; Computational neuroscience; Databases; Technology; Translational research
• Public URL: https://nottingham-repository.worktribe.com/output/33565395
• Publisher URL: ttps://www.nature.com/articles/s41592-024-02237-2