This project focused on collecting full text scientific articles from existing infrastructure and applying modern data mining/text analysis techniques to identify useful tools, trends, and information from massive amounts of articles. This has only ever been done on scientific abstracts for various reasons but this project was able to identify a common format and a series of tools that proved useful for discerning useful articles and information.