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The OpenNeuro resource for sharing of neuroscience data

The sharing of research data is essential to ensure reproducibility and maximize the impact of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative data archive that provides the ability to openly share data from a broad range of brain imaging data types followi...

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Detalles Bibliográficos
Autores principales: Markiewicz, Christopher J, Gorgolewski, Krzysztof J, Feingold, Franklin, Blair, Ross, Halchenko, Yaroslav O, Miller, Eric, Hardcastle, Nell, Wexler, Joe, Esteban, Oscar, Goncavles, Mathias, Jwa, Anita, Poldrack, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550750/
https://www.ncbi.nlm.nih.gov/pubmed/34658334
http://dx.doi.org/10.7554/eLife.71774
Descripción
Sumario:The sharing of research data is essential to ensure reproducibility and maximize the impact of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN Initiative data archive that provides the ability to openly share data from a broad range of brain imaging data types following the FAIR principles for data sharing. We highlight the importance of the Brain Imaging Data Structure standard for enabling effective curation, sharing, and reuse of data. The archive presently shares more than 600 datasets including data from more than 20,000 participants, comprising multiple species and measurement modalities and a broad range of phenotypes. The impact of the shared data is evident in a growing number of published reuses, currently totalling more than 150 publications. We conclude by describing plans for future development and integration with other ongoing open science efforts.