Fig. 1. The burdens of neuroscience and the promise of integrative infrastructure.

a, A figurative representation of the current major burdens of performing neuroimaging investigations. b, Our proposal for integrative infrastructure that coordinates services required to perform FAIR, reproducible, rigorous and transparent neuroimaging research thereby lifting the burden from the researcher. c, brainlife.io rests on the foundational pillars of the open science community such as data archives, standards, software libraries and compute resources. d, brainlife.io’s Map step takes MRI, MEG and EEG data and processes them to extract statistical features of interest. brainlife.io’s reduce step takes the extracted features and serves them to Jupyter Notebooks for statistical analysis. PS, parc-stats datatype; TM, tractmeasures datatype; NET, network datatype and CLI, common line interface. e, The brainlife.io technology automates capture of data provenance. All data objects on brainlife.io are stored with a record of the apps, app versions and parameters used to process the data. f, The primary services are provided to the user by brainlife.io. Panels a and b adapted from ref. ²² under a Creative Commons license CC BY 4.0.