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ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms.
Levitas, Daniel; Hayashi, Soichi; Vinci-Booher, Sophia; Heinsfeld, Anibal; Bhatia, Dheeraj; Lee, Nicholas; Galassi, Anthony; Niso, Guiomar; Pestilli, Franco.
Afiliação
  • Levitas D; 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.
  • Hayashi S; 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.
  • Vinci-Booher S; Department of Psychology and Human Development, Peabody College, Vanderbilt University, Nashville, TN, 37203, USA.
  • Heinsfeld A; 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.
  • Bhatia D; 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.
  • Lee N; 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.
  • Galassi A; Center for Multimodal Neuroimaging, National Institute of Mental Health, Bethesda, MD, USA.
  • Niso G; Instituto Cajal, CSIC, Madrid, Spain.
  • Pestilli F; 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. pestilli@utexas.edu.
Sci Data ; 11(1): 179, 2024 Feb 08.
Article em En | MEDLINE | ID: mdl-38332144
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neuroimagem / Metadados Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neuroimagem / Metadados Idioma: En Revista: Sci Data Ano de publicação: 2024 Tipo de documento: Article