학술논문
brainlife.io: A decentralized and open source cloud platform to support neuroscience research
Document Type
Working Paper
Author
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; 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; Rorden, Christopher; Victory, Conner; Bhatia, Dheeraj; Aydogan, Dogu Baran; Yeh, Fang-Cheng F.; Delogu, Franco; Guaje, Javier; Veraart, Jelle; Bollman, Steffen; Stewart, Ashley; Fischer, Jeremy; Faskowitz, Joshua; Chaumon, Maximilien; Fabrega, Ricardo; Hunt, David; McKee, Shawn; Brown, Shawn T.; Heyman, Stephanie; Iacovella, Vittorio; Mejia, Amanda F.; Marinazzo, Daniele; Craddock, R. Cameron; Olivetti, Emanuele; Hanson, Jamie L.; Avesani, Paolo; Garyfallidis, Eleftherios; Stanzione, Dan; Carson, James; Henschel, Robert; Hancock, David Y.; Stewart, Craig A.; Schnyer, David; Eke, Damian O.; Poldrack, Russell A.; George, Nathalie; Bridge, Holly; Sani, Ilaria; Freiwald, Winrich A.; Puce, Aina; Port, Nicholas L.; Pestilli, Franco
Source
Subject
Language
Abstract
Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR (Findable, Accessible, Interoperabile, and Reusable) data analysis to portions of the worldwide research community. brainlife.io was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research.