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February 8, 2024Scientific Data19 citationsOpen Access

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

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DLDaniel LevitasSHSoichi HayashiSVSophia Vinci‐Booher

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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.

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Cite This Study

Levitas et al. (2024) studied this question.

synapsesocial.com/papers/68e7b3d4b6db64358770daefhttps://doi.org/10.1038/s41597-024-02959-0
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Containerizing BIDSme : A Reproducible Tool for BIDS Conversion2026
  2. 2NIBS-BIDS: an extension to the brain imaging data structure for non-invasive brain stimulation2026
  3. 3FAIR m-BIDS: Advancing brain data utilization through multimodal and FAIR principles2026
  4. 4PET2BIDS: a library for converting Positron Emission Tomography data to BIDS2024 · 4 citations
  5. 5Motion-BIDS: an extension to the brain imaging data structure to organize motion data for reproducible research2024 · 12 citations