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.

中文翻译：

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FlywheelTools：Flywheel 平台上的数据管理和操作

近来越来越关注神经影像学研究的可重复性，这导致许多主要学术中心使用基于云的影像数据库来存储、分析和共享复杂的影像数据。Flywheel 就是这样一个数据库平台，它提供易于访问的大规模数据管理，以及通过容器化管道进行可重复分析的框架。脑成像数据结构 (BIDS) 是神经影像数据的事实标准，但将神经影像数据整理成 BIDS 可能是一项具有挑战性且耗时的任务。特别是，BIDS 管理的标准解决方案仅限于 Flywheel。为了应对这些挑战，我们开发了“FlywheelTools”，这是一个用于在 Flywheel 上进行可重复数据管理和操作的软件工具箱。FlywheelTools 包括两个元素：fw-heudiconv，用于将启发式驱动的数据整理到 BIDS 和 flaudit，后者对 Flywheel 上的项目进行审计和盘点。这些工具共同加速了广泛使用的飞轮平台上的可重复神经科学研究。