This document discusses the potential for "Science as a Service" by leveraging on-demand computing capabilities. It notes that most research labs have limited resources, so automation and outsourcing are needed to apply sophisticated methods to larger datasets. The author proposes building a "discovery cloud" by identifying time-consuming research activities that can be automated and delivered as software/platform/infrastructure as a service. This would help accelerate scientific discovery. Globus is highlighted as an example of a platform providing data management services using a software as a service model.