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Astronomy produces extremely large data sets from ground-based telescopes,space missions, and simulation. The volume and complexity of these rich datasets require new approaches and advanced tools to understand the informationcontained therein. No one can load this data on their own computer, most cannoteven keep it at their institution, and worse, no platform exists that allowsone to evaluate their models across the whole of the data. Simply having anextremely large volume of data available in one place is not sufficient; onemust be able to make valid, rigorous, scientific comparisons across verydifferent data sets from very different instrumentation. We propose a frameworkto directly address this which has the following components: a model-basedcomputational platform, streamlined access to large volumes of data, and aneducational and social platform for both researchers and the public.

A New Framework for a Model-Based Data Science Computational Platform