Hayashi S., Caron BA., Heinsfeld AS., Vinci-Booher S., McPherson B., Bullock DN., Bertò G., Niso G., Hanekamp S., Levitas D., Ray K., MacKenzie A., Avesani P., Kitchell L., Leong JK., Nascimento-Silva F., Koudoro S., Willis H., Jolly JK., Pisner D., Zuidema TR., Kurzawski JW., Mikellidou K., Bussalb A., Chaumon M., George N., Rorden C., Victory C., Bhatia D., Aydogan DB., Yeh F-CF., Delogu F., Guaje J., Veraart J., Fischer J., Faskowitz J., Fabrega R., Hunt D., McKee S., Brown ST., Heyman S., Iacovella V., Mejia AF., Marinazzo D., Craddock RC., Olivetti E., Hanson JL., Garyfallidis E., Stanzione D., Carson J., Henschel R., Hancock DY., Stewart CA., Schnyer D., Eke DO., Poldrack RA., Bollmann S., Stewart A., Bridge H., Sani I., Freiwald WA., Puce A., Port NL., Pestilli F.

AbstractNeuroscience 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.

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

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