Text mining, or the process of deriving new information from pattern and trend analysis of the written word, has the potential to revolutionize research across disciplines, but there is a massive hurdle facing those eager to unleash its power: the coding skills and statistical knowledge it requires can take years to develop. JSTOR and Portico are addressing this problem by building a text and data mining platform aimed at teaching and enabling a generation of researchers to text mine. The University of Pittsburgh has partnered with JSTOR and Portico to help pilot test this “Digital Scholar Workbench.” Participants in this workshop will learn how the new tool works, and how it can be used to facilitate analysis and/or download JSTOR and Portico datasets.