Hesburgh Libraries

Workshop Overview

JSTOR's Data for Research is an alternative interface to the venerable JSTOR collection of journal articles, and this hands-on class teaches participants how to use computers to analyze these materials.

Sometimes called "distant" or "scalable" reading — forms of digital humanities research — this class demonstrates ways to literally count and tabulate the frequency of words in a text in order to find patterns and anomalies within it. Based on the resulting analysis, it is possible to more quickly learn what a corpus is about when compared to reading the corpus without the use of a computer. JSTOR journal articles lend themselves quite easily to this sort of analysis.

There are no prerequisites, but participants may want to bring their own laptop to the session.

Instructor

Eric Lease Morgan, Digital Initiatives Librarian
emorgan@nd.edu