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

doi:10.1038/s41597-024-02959-0

Scientific Data (Feb 2024)

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

Affiliations

Daniel Levitas: Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas
Soichi Hayashi: Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas
Sophia Vinci-Booher: Department of Psychology and Human Development, Peabody College, Vanderbilt University
Anibal Heinsfeld: Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas
Dheeraj Bhatia: Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas
Nicholas Lee: Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas
Anthony Galassi: Center for Multimodal Neuroimaging, National Institute of Mental Health
Guiomar Niso: Instituto Cajal, CSIC
Franco Pestilli: Department of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas

DOI: https://doi.org/10.1038/s41597-024-02959-0
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 14

Abstract

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Abstract Data standardization promotes a common framework through which researchers can utilize others’ data and is one of the leading methods neuroimaging researchers use to share and replicate findings. As of today, standardizing datasets requires technical expertise such as coding and knowledge of file formats. We present ezBIDS, a tool for converting neuroimaging data and associated metadata to the Brain Imaging Data Structure (BIDS) standard. ezBIDS contains four major features: (1) No installation or programming requirements. (2) Handling of both imaging and task events data and metadata. (3) Semi-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 to 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.org and brainlife.io.

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

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