There is a massive volume of brain imaging data available on the internet, for different types of persons and animals, capturing different types of information such as brain anatomy, connectivity and function. This data represents an incredible effort of funding, data collection, processing, and the goodwill of thousands of participants. Its analysis should allow generating insight on critical societal challenges such as mental disorders but also on the structure of our cognition. Sharing this data is great, but it's not enough: to transform data into insight, we need access to a huge neuroinformatic infrastructure that would allow us to query it, store it, preprocess it and analyse it. But it's not only computers and code, you also need people. Neuroimaging data requires a substantial amount of human curation, visual quality assessment and manual editing. All too often, the inability of small research groups, individual researchers or citizen scientists to meet these requirements will prevent/ discourage them to explore the data or will force them to discard large amounts of data because of an impossibility to embark into lengthy manual interventions. We intend to build the framework for an Open Neuroimaging Laboratory that will enable distributed collaboration around annotation, discovery and analysis of publicly available brain imaging data. We will build this framework using browser based applications allowing individuals to work together without having to download any data or install any software. By working together in a distributed and collaborative way, sharing our work and our analyses ‡ § | ¶ © Heuer K et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. we should improve transparency, statistical power and reproducibility. Our aim is to provide to everyone the means to share effort, learn from each other, and improve quality and trust in scientific output. The framework we propose will leverage and extend the spirit of the EyeWire game to a distributed, open laboratory for collaboration in brain imaging.