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

Authors :
Daniel Levitas
Soichi Hayashi
Sophia Vinci-Booher
Anibal Heinsfeld
Dheeraj Bhatia
Nicholas Lee
Anthony Galassi
Guiomar Niso
Franco Pestilli
Source :
Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20524463
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Data
Publication Type :
Academic Journal
Accession number :
edsdoj.fdabb52e890c4e5ba460584985e4186f
Document Type :
article
Full Text :
https://doi.org/10.1038/s41597-024-02959-0