  Modern technologies are enabling scientists to collect extraordinary amounts
of complex and sophisticated data across a huge range of scales like never
before. With this onslaught of data, we can allow the focal point to shift
towards answering the question of how we can analyze and understand the massive
amounts of data in front of us. Unfortunately, lack of standardized sharing
mechanisms and practices often make reproducing or extending scientific results
very difficult. With the creation of data organization structures and tools
which drastically improve code portability, we now have the opportunity to
design such a framework for communicating extensible scientific discoveries.
Our proposed solution leverages these existing technologies and standards, and
provides an accessible and extensible model for reproducible research, called
"science in the cloud" (sic). Exploiting scientific containers, cloud computing
and cloud data services, we show the capability to launch a computer in the
cloud and run a web service which enables intimate interaction with the tools
and data presented. We hope this model will inspire the community to produce
reproducible and, importantly, extensible results which will enable us to
collectively accelerate the rate at which scientific breakthroughs are
discovered, replicated, and extended.
