JSTOR's Data for ResearchData for Research (dfr.jstor.org) is a free, self-service tool that allows computer scientists, digital humanists, and other researchers to select and interact with content on JSTOR. Created in 2008, Data for Research enables exploration of both scholarly journal literature (more than 7 million journal articles) and a set of primary resources (26,000 19th Century British Pamphlets).
The resource consists of a set of web-based tools, including:
a powerful faceted search interface that can be leveraged to define content of interest through an iterative process of searching and results filtering
word frequencies, citations, key terms, and ngrams utilized for conducting analysis of document-level data
topic modeling (classification of subject headings at the article level), a powerful tool for content selection and filtering
downloadable datasets containing word frequencies, citations, key terms, or ngrams associated with the content selected
visualization tools