Evidence map›Paper›PMID 38332144›Full record

ArticleScientific data2024

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

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Building an open infrastructure for molecular neuroimaging: Standards and tools from the OpenNeuroPET initiative.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

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, Austin, TX, 78712, USA.ORCID 0000-0003-2279-7447
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, Austin, TX, 78712, USA.
Sophia Vinci-BooherDepartment of Psychology and Human Development, Peabody College, Vanderbilt University, Nashville, TN, 37203, USA.ORCID 0000-0002-3626-146X
Anibal HeinsfeldDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas, Austin, TX, 78712, USA.ORCID 0000-0002-2050-0614
Dheeraj BhatiaDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas, Austin, TX, 78712, USA.
Nicholas LeeDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas, Austin, TX, 78712, USA.ORCID 0009-0000-7088-310X
Anthony GalassiCenter for Multimodal Neuroimaging, National Institute of Mental Health, Bethesda, MD, USA.
Guiomar NisoInstituto Cajal, CSIC, Madrid, Spain.ORCID 0000-0001-5872-8924
Franco PestilliDepartment of Psychology, Department of Neuroscience, Center for Perceptual Systems, Center for Learning and Memory, Center for Aging Population Sciences, University of Texas, Austin, TX, 78712, USA. pestilli@utexas.edu.ORCID 0000-0002-2469-0494

Funding

BRAIN CONNECTS: Center for Mesoscale ConnectomicsUM1NS132207 · NINDS · UNIVERSITY OF MINNESOTA · PI TANER AKKIN, Damien A Fair · 2023 to 2026
$12.5M
Extending ezBIDS, NiiVue and dcm2niix for user-friendly cloud-based integration and visualizationRF1MH133701 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI RORDEN, CHRISTOPHER · 2023 to 2023
$2.0M
CRCNS: US-France Data Sharing Proposal: Open science & cloud computing of MEEGR01EB030896 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI PESTILLI, FRANCO, PUCE, AINA · 2020 to 2022
$651k
CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscienceR01EB029272 · NIBIB · TRUSTEES OF INDIANA UNIVERSITY · PI BASSETT, DANIELLE SMITH, BETZEL, RICHARD F · 2019 to 2021
$546k
NIBIB NIH HHS R01 EB029272NIBIB NIH HHS R01 EB030896NIMH NIH HHS RF1 MH133701NINDS NIH HHS UM1 NS132207Wellcome Trust
6 · The paper itself

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.

Indexed as

MetadataNeuroimagingData AnalysisData Display

Identifiers

PMID38332144
PMCPMC10853279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.