Granting agencies have an ongoing need for tools to assure that their portfolio of grants is current, mission-focused, and of high quality. Therefore we are exploring the novel use of a text-mining data visualization tool, OmniViz™, to examine patterns in the science distribution of our grants, analyze assignment of project officers, and identify gaps and emerging areas of research. We explore the effect of various options and choices, such as source data, number of clusters, or clustering method. We show examples of our data plots and describe how this could be used to think about the portfolios in new ways and inform our science management. Finally, we discuss the challenges and opportunities of these approaches. This presentation will be useful to evaluators interested in learning how to use visualization tools for data analysis and in understanding how the findings can be applied to science management. #Research,Technology,andDevelopmentEval #Cluster,Multi-SiteandMulti-LevelEval #EvaluationPolicy #GovernmentEvaluation #textmining #2011Conference #DataVisualizationandReporting