brainlife.io：一个支持神经科学研究的去中心化开源云平台
分布式、并行与集群计算
2024-05-28 v3 神经元与认知
定量方法
摘要
过去30年间，神经科学研究通过推进标准化与工具开发以支持严谨性和透明度而大幅扩展。随之而来的是数据流水线复杂性的增加，阻碍了全球研究界部分群体对FAIR（可发现、可访问、可互操作、可重用）数据分析的获取。brainlife.io的开发旨在减轻这些负担，并使现代神经科学研究在不同机构与职业层级间实现民主化。该平台利用社区软件与硬件基础设施，提供开源数据标准化、管理、可视化与处理，并简化数据流水线。brainlife.io自动追踪数千个数据对象的溯源历史，支持神经科学研究的简洁性、效率与透明度。本文描述并评估了brainlife.io的技术与数据服务在有效性、可靠性、可重复性、可复现性与科学效用方面的表现。利用来自4种模态与3200名参与者的数据，我们证明了brainlife.io的服务所产生的输出符合现代神经科学研究的最佳实践。
引用
@article{arxiv.2306.02183,
title = {brainlife.io: A decentralized and open source cloud platform to support neuroscience research},
author = {Soichi Hayashi and Bradley A. Caron and Anibal Sólon Heinsfeld and Sophia Vinci-Booher and Brent McPherson and Daniel N. Bullock and Giulia Bertò and Guiomar Niso and Sandra Hanekamp and Daniel Levitas and Kimberly Ray and Anne MacKenzie and Lindsey Kitchell and Josiah K. Leong and Filipi Nascimento-Silva and Serge Koudoro and Hanna Willis and Jasleen K. Jolly and Derek Pisner and Taylor R. Zuidema and Jan W. Kurzawski and Kyriaki Mikellidou and Aurore Bussalb and Christopher Rorden and Conner Victory and Dheeraj Bhatia and Dogu Baran Aydogan and Fang-Cheng F. Yeh and Franco Delogu and Javier Guaje and Jelle Veraart and Steffen Bollman and Ashley Stewart and Jeremy Fischer and Joshua Faskowitz and Maximilien Chaumon and Ricardo Fabrega and David Hunt and Shawn McKee and Shawn T. Brown and Stephanie Heyman and Vittorio Iacovella and Amanda F. Mejia and Daniele Marinazzo and R. Cameron Craddock and Emanuele Olivetti and Jamie L. Hanson and Paolo Avesani and Eleftherios Garyfallidis and Dan Stanzione and James Carson and Robert Henschel and David Y. Hancock and Craig A. Stewart and David Schnyer and Damian O. Eke and Russell A. Poldrack and Nathalie George and Holly Bridge and Ilaria Sani and Winrich A. Freiwald and Aina Puce and Nicholas L. Port and Franco Pestilli},
journal= {arXiv preprint arXiv:2306.02183},
year = {2024}
}