{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T03:26:00Z","timestamp":1772249160291,"version":"3.50.1"},"reference-count":20,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T00:00:00Z","timestamp":1624320000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["RF1MH116920"],"award-info":[{"award-number":["RF1MH116920"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01MH120482"],"award-info":[{"award-number":["R01MH120482"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01MH113550"],"award-info":[{"award-number":["R01MH113550"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000025","name":"National Institute of Mental Health","doi-asserted-by":"publisher","award":["R01MH112847"],"award-info":[{"award-number":["R01MH112847"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neuroinform."],"abstract":"<jats:p>\n                    The recent and growing focus on reproducibility in neuroimaging studies has led many major academic centers to use cloud-based imaging databases for storing, analyzing, and sharing complex imaging data. Flywheel is one such database platform that offers easily accessible, large-scale data management, along with a framework for reproducible analyses through containerized pipelines. The Brain Imaging Data Structure (BIDS) is the\n                    <jats:italic>de facto<\/jats:italic>\n                    standard for neuroimaging data, but curating neuroimaging data into BIDS can be a challenging and time-consuming task. In particular, standard solutions for BIDS curation are limited on Flywheel. To address these challenges, we developed \u201cFlywheelTools,\u201d a software toolbox for reproducible data curation and manipulation on Flywheel. FlywheelTools includes two elements:\n                    <jats:italic>fw-heudiconv<\/jats:italic>\n                    , for heuristic-driven curation of data into BIDS, and\n                    <jats:italic>flaudit<\/jats:italic>\n                    , which audits and inventories projects on Flywheel. Together, these tools accelerate reproducible neuroscience research on the widely used Flywheel platform.\n                  <\/jats:p>","DOI":"10.3389\/fninf.2021.678403","type":"journal-article","created":{"date-parts":[[2021,6,22]],"date-time":"2021-06-22T02:45:46Z","timestamp":1624329946000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["FlywheelTools: Data Curation and Manipulation on the Flywheel Platform"],"prefix":"10.3389","volume":"15","author":[{"given":"Tinashe M.","family":"Tapera","sequence":"first","affiliation":[]},{"given":"Matthew","family":"Cieslak","sequence":"additional","affiliation":[]},{"given":"Max","family":"Bertolero","sequence":"additional","affiliation":[]},{"given":"Azeez","family":"Adebimpe","sequence":"additional","affiliation":[]},{"given":"Geoffrey K.","family":"Aguirre","sequence":"additional","affiliation":[]},{"given":"Ellyn R.","family":"Butler","sequence":"additional","affiliation":[]},{"given":"Philip A.","family":"Cook","sequence":"additional","affiliation":[]},{"given":"Diego","family":"Davila","sequence":"additional","affiliation":[]},{"given":"Mark A.","family":"Elliott","sequence":"additional","affiliation":[]},{"given":"Sophia","family":"Linguiti","sequence":"additional","affiliation":[]},{"given":"Kristin","family":"Murtha","sequence":"additional","affiliation":[]},{"given":"William","family":"Tackett","sequence":"additional","affiliation":[]},{"given":"John A.","family":"Detre","sequence":"additional","affiliation":[]},{"given":"Theodore D.","family":"Satterthwaite","sequence":"additional","affiliation":[]}],"member":"1965","published-online":{"date-parts":[[2021,6,22]]},"reference":[{"key":"B1","author":"Banker","year":"2011","journal-title":"MongoDB in Action."},{"key":"B2","author":"Biehl","year":"2016","journal-title":"RESTful Api Design"},{"key":"B3","doi-asserted-by":"publisher","first-page":"1089","DOI":"10.1016\/j.neuroimage.2015.04.022","article-title":"Neuroimaging data sharing on the neuroinformatics database platform.","volume":"124","author":"Book","year":"2016","journal-title":"Neuroimage"},{"key":"B4","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1038\/s41586-020-2314-9","article-title":"Variability in the analysis of a single neuroimaging dataset by many teams.","volume":"582","author":"Botvinik-Nezer","year":"2020","journal-title":"Nature"},{"key":"B5","doi-asserted-by":"publisher","DOI":"10.1101\/2020.09.04.282269","article-title":"QSIPrep: an integrative platform for preprocessing and reconstructing diffusion mri.","author":"Cieslak","year":"2020","journal-title":"bioRxiv[Preprint]."},{"key":"B6","doi-asserted-by":"publisher","first-page":"10","DOI":"10.3389\/conf.fninf.2013.09.00042","article-title":"Towards automated analysis of connectomes: the configurable pipeline for the analysis of connectomes (c-Pac).","volume":"42","author":"Craddock","year":"2013","journal-title":"Front. 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