Abstract
Future space missions and science programs will be massive data producers. The technology to produce large data volumes must be matched by technologies to process, analyze, and make use of the data flood, in order to reap the maximum engineering benefit and scientific return from those technology investments. In particular, the integration of data from multiple sources will be standard practice, both for operational decision-making and for scientific decision-making. We describe the application of the emerging e-science paradigm and its related technologies to data-driven discovery in space missions of the future.
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