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arXiv · 2311.04912

ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms

Daniel Levitas·Soichi Hayashi·Sophia Vinci-Booher·Anibal Heinsfeld·Dheeraj Bhatia·Nicholas Lee·Anthony Galassi·Guiomar Niso·Franco Pestilli
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Abstract

Data standardization has become one of the leading methods neuroimaging researchers rely on for data sharing and reproducibility. Data standardization promotes a common framework through which researchers can utilize others' data. Yet, as of today, formatting datasets that adhere to community best practices requires technical expertise involving coding and considerable knowledge of file formats and standards. We describe ezBIDS, a tool for converting neuroimaging data and associated metadata to the Brain Imaging Data Structure (BIDS) standard. ezBIDS provides four unique features: (1) No installation or programming requirements. (2) Handling of both imaging and task events data and metadata. (3) Automated inference and guidance for adherence to BIDS. (4) Multiple data management options: download BIDS data to local system, or transfer to OpenNeuro.org or brainlife.io. In sum, ezBIDS requires neither coding proficiency nor knowledge of BIDS and is the first BIDS tool to offer guided standardization, support for task events conversion, and interoperability with OpenNeuro and brainlife.io.

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Daniel Levitas, Soichi Hayashi, Sophia Vinci-Booher, Anibal Heinsfeld, Dheeraj Bhatia, Nicholas Lee, Anthony Galassi, Guiomar Niso, Franco Pestilli. 2023-11-01. ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms. https://doi.org/10.1038/s41597-024-02959-0

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