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 (Findable, Accessible, Interoperabile, and Reusable) data analysis to portions of the worldwide research community. brainlife.io 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.

翻译：神经科学研究在过去30年间通过推进标准化与工具开发以支持严谨性和透明度，实现了显著扩展。然而，数据管道的复杂性也随之增加，阻碍了全球科研界部分群体对FAIR（可查找、可访问、可互操作、可重用）数据分析的获取。brainlife.io的建立旨在减轻这些负担，并推动现代神经科学研究在跨机构与不同职业层级间的民主化。该平台利用社区软件与硬件基础设施，提供开源的数据标准化、管理、可视化与处理功能，并简化数据管道流程。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、高效性与透明度。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、复现性及科学效用方面的表现。通过使用来自4种模态及3200名参与者的数据，我们证明brainlife.io的服务能够产出符合现代神经科学研究最佳实践的成果。