  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.
