Analyzing Articles Using JSTOR's Data for Research Service
Data For Research (DFR) is an alternative interface to JSTOR enabling the reader to download statistical information describing JSTOR search results. JSTOR's DFR is a powerful tool enabling the reader to look for trends in large sets of articles as well as drill down into the specifics of individual articles. For example, using DFR a person can create a graph illustrating when sets of citations where written, create a word cloud illustrating the most frequently used words in a journal article, or classify sets of JSTOR articles according to a set of broad subject headings. More advanced features enable the reader to extract frequently used phrases in a text as well as list statistically significant keywords. This hands-on workshop leads the student through a set of exercises demonstrating these techniques. REQUIREMENTS Attendees are expected to bring their own computer to the workshop. Attendees are also expected to register for a JSTOR DFR user account prior to the date of the workshop