This document discusses a universal platform for data science on public and private clouds. The platform would provide computational components like R packages and Python modules, computational resources like clusters and clouds, and computational GUIs. It would support computational scripts in languages like R and Python. The platform aims to provide a federation of public and private cloud infrastructures along with features like real-time collaboration and reproducible data science workflows. The architecture would include remote processes and engines to enable collaboration across spreadsheets, graphics, and dashboards.