| Autor: |
Tinashe M. Tapera, Matthew Cieslak, Max Bertolero, Azeez Adebimpe, Geoffrey K. Aguirre, Ellyn R. Butler, Philip A. Cook, Diego Davila, Mark A. Elliott, Sophia Linguiti, Kristin Murtha, William Tackett, John A. Detre, Theodore D. Satterthwaite |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Frontiers in Neuroinformatics, Vol 15 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1662-5196 |
| DOI: |
10.3389/fninf.2021.678403 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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