Library Workshops and Events
Event Details
Using JSTOR's Data for Research
JSTOR’s Data For Research (http://dfr.jstor.org) 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.
- DATE
- Wednesday, February 8, 2017
- TIME
- 12:00PM - 1:00PM
- PRESENTER
- Eric Morgan
- CATEGORIES
- CDS | Text Mining & Analysis Workshops
Contact Info
Hesburgh Library
University of Notre Dame
Notre Dame, IN 46556
hl-research-data-services-list@nd.edu | |
libguides.library.nd.edu/research-data-services |