Author:
Tapera Tinashe M.,Cieslak Matthew,Bertolero Max,Adebimpe Azeez,Aguirre Geoffrey K.,Butler Ellyn R.,Cook Philip A.,Davila Diego,Elliott Mark A.,Linguiti Sophia,Murtha Kristin,Tackett William,Detre John A.,Satterthwaite Theodore D.
Abstract
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 de facto 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 “FlywheelTools,” a software toolbox for reproducible data curation and manipulation on Flywheel. FlywheelTools includes two elements: fw-heudiconv, for heuristic-driven curation of data into BIDS, and flaudit, which audits and inventories projects on Flywheel. Together, these tools accelerate reproducible neuroscience research on the widely used Flywheel platform.
Funder
National Institute of Mental Health
Subject
Computer Science Applications,Biomedical Engineering,Neuroscience (miscellaneous)
Cited by
11 articles.
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