FlywheelTools: Data Curation and Manipulation on the Flywheel Platform
By
Tinashe Tapera,
Matthew Cieslak,
Max Bertolero,
Azeez Adebimpe,
Geoffrey K Aguirre,
Ellyn R. Butler,
Philip A. Cook,
Diego Davila,
Mark A. Elliot,
Sophia Linguiti,
Kristin Murtha,
William Tackett,
John A Detre,
Theodore D Satterthwaite
Posted 12 Mar 2021
bioRxiv DOI: 10.1101/2021.03.12.434998
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 a data storage specification 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 not designed for use on cloud-based systems such as 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.
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