一个支持神经科学研究的去中心化开源云平台。

: A decentralized and open source cloud platform to support neuroscience research.

作者信息

Hayashi Soichi, Caron Bradley A, Heinsfeld Anibal Sólon, Vinci-Booher Sophia, McPherson Brent, Bullock Daniel N, Bertò Giulia, Niso Guiomar, Hanekamp Sandra, Levitas Daniel, Ray Kimberly, MacKenzie Anne, Kitchell Lindsey, Leong Josiah K, Nascimento-Silva Filipi, Koudoro Serge, Willis Hanna, Jolly Jasleen K, Pisner Derek, Zuidema Taylor R, Kurzawski Jan W, Mikellidou Kyriaki, Bussalb Aurore, Rorden Christopher, Victory Conner, Bhatia Dheeraj, Baran Aydogan Dogu, Yeh Fang-Cheng F, Delogu Franco, Guaje Javier, Veraart Jelle, Bollman Steffen, Stewart Ashley, Fischer Jeremy, Faskowitz Joshua, Chaumon Maximilien, Fabrega Ricardo, Hunt David, McKee Shawn, Brown Shawn T, Heyman Stephanie, Iacovella Vittorio, Mejia Amanda F, Marinazzo Daniele, Craddock R Cameron, Olivetti Emanuale, Hanson Jamie L, Avesani Paolo, Garyfallidis Eleftherios, Stanzione Dan, Carson James, Henschel Robert, Hancock David Y, Stewart Craig A, Schnyer David, Eke Damian O, Poldrack Russell A, George Nathalie, Bridge Holly, Sani Ilaria, Freiwald Winrich A, Puce Aina, Port Nicholas L, Pestilli Franco

出版信息

ArXiv. 2023 Aug 11:arXiv:2306.02183v3.

DOI:
Abstract

Neuroscience research has expanded dramatically over the past 30 years by advancing standardization and tool development to support rigor and transparency. Consequently, the complexity of the data pipeline has also increased, hindering access to FAIR data analysis to portions of the worldwide research community. was developed to reduce these burdens and democratize modern neuroscience research across institutions and career levels. Using community software and hardware infrastructure, the platform provides open-source data standardization, management, visualization, and processing and simplifies the data pipeline. brainlife.io automatically tracks the provenance history of thousands of data objects, supporting simplicity, efficiency, and transparency in neuroscience research. Here brainlife.io's technology and data services are described and evaluated for validity, reliability, reproducibility, replicability, and scientific utility. Using data from 4 modalities and 3,200 participants, we demonstrate that brainlife.io's services produce outputs that adhere to best practices in modern neuroscience research.

摘要

在过去30年里,神经科学研究通过推进标准化和工具开发以支持严谨性和透明度,取得了显著进展。因此,数据管道的复杂性也增加了,阻碍了全球部分研究群体进行公平的数据访问分析。Brainlife.io的开发旨在减轻这些负担,并使跨机构和职业水平的现代神经科学研究民主化。该平台利用社区软件和硬件基础设施,提供开源数据标准化、管理、可视化和处理功能,并简化数据管道。Brainlife.io会自动跟踪数千个数据对象的出处历史,支持神经科学研究的简单性、效率和透明度。本文描述并评估了Brainlife.io的技术和数据服务在有效性、可靠性、可重复性、可复制性和科学实用性方面的表现。我们使用来自4种模式和3200名参与者的数据,证明了Brainlife.io的服务产生的输出符合现代神经科学研究的最佳实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5d9/10443573/2344ce00d4e7/nihpp-2306.02183v3-f0001.jpg

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