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年中通过推进标准化和工具开发以支持严谨性与透明度而显著扩展。然而，数据管道的复杂性也随之增加，阻碍了全球研究界部分群体对FAIR（可查找、可访问、可互操作、可重用）数据分析的获取。brainlife.io的开发旨在减轻这些负担，并推动现代神经科学研究在不同机构与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、可视化和处理功能，并简化了数据管道。brainlife.io自动追踪数千个数据对象的来源历史，支持神经科学研究的简便性、高效性与透明度。本文对brainlife.io的技术与数据服务进行了描述，并从有效性、可靠性、可再现性、可重复性和科学实用性方面进行了评估。利用来自4种模态和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。