  Cloud computing has the capacity to transform many parts of the research
ecosystem, from particular research areas to overall strategic decision making
and policy. Scientometrics sits at the boundary between research and the
decision making and evaluation processes of research. One of the biggest
challenges in research policy and strategy is having access to data that allows
iterative analysis to inform decisions. Many of these decisions are based on
"global" measures such as benchmark metrics that are hard to source. In this
article, Cloud technologies are explored in this context. A novel visualisation
technique is presented and used as a means to explore the potential for scaling
scientometrics by democratising both access to data and compute capacity using
the Cloud.
