Campuses:

Tensions and Questions in JSTOR Data, Math and Otherwise

Monday, April 26, 2004 - 3:30pm - 4:00pm
Keller 3-180
Nigel Kerr (JSTOR)
JSTOR has a large body of data, in Mathematics journals and beyond, that has been historically encoded in LaTeX snippets, in the attempt to accurately reproduce information from the print articles. This strategy has its faults, as does some of JSTOR's LaTeX data itself. JSTOR is at a cross-roads of data migration and systems rebuild, and wants to try to Do The Right Thing. This talk is a description of the pressures and challenges we're aware of, and a request for advice and comment about what JSTOR could do for mathematical content.

Statement of Interest: I am interested most in what needs for math searching (and display, additionally) JSTOR (http://www.jstor.org/) could be providing for what benefits. Mathematical expressions in JSTOR are presently somewhat less than accessible by our present search facility (sub-optimal TeX fed to a search engine we are increasingly unhappy). What could JSTOR be doing differently, how could JSTOR measure success and impact of the different options, how would these strategies for math help or affect our other need for search and display of other markup for other communities (chemistry and biology, largely)?