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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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