<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hayashi S</submitter><funding>Microsoft Research</funding><funding>NIBIB NIH HHS</funding><funding>NIDA NIH HHS</funding><funding>NIMH NIH HHS</funding><funding>National Science Foundation (NSF)</funding><funding>NINDS NIH HHS</funding><funding>U.S. Department of Health &amp; Human Services | National Institutes of Health (NIH)</funding><funding>Kavli Foundation</funding><funding>Wellcome Trust</funding><funding>U.S. Department of Health &amp;amp; Human Services | National Institutes of Health</funding><funding>National Science Foundation</funding><pagination>809-813</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11093740</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(5)</volume><pubmed_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.</pubmed_abstract><journal>Nature methods</journal><pubmed_title>brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.</pubmed_title><pmcid>PMC11093740</pmcid><funding_grant_id>2005506</funding_grant_id><funding_grant_id>U01 DA041117</funding_grant_id><funding_grant_id>U24 DA041123</funding_grant_id><funding_grant_id>2004877</funding_grant_id><funding_grant_id>U24 DA041147</funding_grant_id><funding_grant_id>2232628</funding_grant_id><funding_grant_id>R01 EB030896</funding_grant_id><funding_grant_id>1916518</funding_grant_id><funding_grant_id>U01 DA041174</funding_grant_id><funding_grant_id>R01 EB027585</funding_grant_id><funding_grant_id>1636893</funding_grant_id><funding_grant_id>1445604</funding_grant_id><funding_grant_id>U01 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M</pubmed_authors><pubmed_authors>Stewart A</pubmed_authors><pubmed_authors>Freiwald WA</pubmed_authors><pubmed_authors>Hancock DY</pubmed_authors><pubmed_authors>Veraart J</pubmed_authors><pubmed_authors>Marinazzo D</pubmed_authors><pubmed_authors>Iacovella V</pubmed_authors><pubmed_authors>Willis H</pubmed_authors><pubmed_authors>Garyfallidis E</pubmed_authors><pubmed_authors>Victory C</pubmed_authors><pubmed_authors>Hanekamp S</pubmed_authors><pubmed_authors>Bollmann S</pubmed_authors><pubmed_authors>Vinci-Booher S</pubmed_authors><pubmed_authors>Koudoro S</pubmed_authors><pubmed_authors>Jolly JK</pubmed_authors><pubmed_authors>Mikellidou K</pubmed_authors><pubmed_authors>Guaje J</pubmed_authors><pubmed_authors>Carson J</pubmed_authors><pubmed_authors>Poldrack RA</pubmed_authors><pubmed_authors>Kitchell L</pubmed_authors><pubmed_authors>Levitas D</pubmed_authors><pubmed_authors>Yeh FF</pubmed_authors><pubmed_authors>Fischer J</pubmed_authors><pubmed_authors>Eke DO</pubmed_authors><pubmed_authors>Heinsfeld AS</pubmed_authors><pubmed_authors>Sani I</pubmed_authors><pubmed_authors>Stewart CA</pubmed_authors><pubmed_authors>Heyman S</pubmed_authors><pubmed_authors>George N</pubmed_authors><pubmed_authors>Faskowitz J</pubmed_authors><pubmed_authors>Bullock DN</pubmed_authors><pubmed_authors>Delogu F</pubmed_authors><pubmed_authors>Port NL</pubmed_authors><pubmed_authors>Hayashi S</pubmed_authors><pubmed_authors>Niso G</pubmed_authors><pubmed_authors>MacKenzie A</pubmed_authors><pubmed_authors>Kurzawski JW</pubmed_authors><pubmed_authors>Hanson JL</pubmed_authors><pubmed_authors>McKee S</pubmed_authors><pubmed_authors>Stanzione D</pubmed_authors><pubmed_authors>Mejia AF</pubmed_authors><pubmed_authors>Berto G</pubmed_authors><pubmed_authors>Avesani P</pubmed_authors><pubmed_authors>Bridge H</pubmed_authors><pubmed_authors>McPherson B</pubmed_authors><pubmed_authors>Caron BA</pubmed_authors><pubmed_authors>Nascimento-Silva F</pubmed_authors><pubmed_authors>Rorden C</pubmed_authors><pubmed_authors>Bhatia D</pubmed_authors><pubmed_authors>Craddock RC</pubmed_authors><pubmed_authors>Aydogan DB</pubmed_authors></additional><is_claimable>false</is_claimable><name>brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.</name><description>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.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 May</publication><modification>2025-06-01T01:39:44.932Z</modification><creation>2025-06-01T01:39:44.932Z</creation></dates><accession>S-EPMC11093740</accession><cross_references><pubmed>38605111</pubmed><doi>10.1038/s41592-024-02237-2</doi></cross_references></HashMap>