This article provides an overview of the ways in which data and text mining have potential as research methodologies in composition studies. It introduces data mining in the context of the field of composition studies and discusses ways in which this methodology can complement and extend our existing research practices by blending the best of what technology and researchers have to offer. The authors examine a process model for data mining, discuss benefits and liabilities, and link to increased calls for accountability. (Contains 11 online resources.)