2.4.4 Useful Models for Measuring Production and Use of
ETDs, Joan Lippincott and Jose H. Canos
Cerda
In addition to assessing some of the programmatic goals of
the ETD program, institutions will want to have some basic assessment measures
in place to document the production and use of their ETDs. The work done at
Virginia Tech’s
Electronic Thesis and Dissertation Initiative can provide a model for other institutions.
Using web statistics reporting software, Virginia Tech monitors a number of
measures for their ETDs, including:
the availability of campus ETDs
multimedia in ETDs
which domains within the
requests for PDF and HTML files
distinct files requested
distinct hosts served
average data transferred daily
In compiling its counts, Virginia Tech eliminates everyone
working on ETDs at the institution, including the
Institutions must decide whether they will report their
ETD collections and usage separately, in conjunction with other campus web site
usage, or in conjunction with other electronic resources managed by the
library. Now, when practices and standards for gathering these statistics are
evolving, institutions may need to collect the information and report it in
conjunction with more than one type of related collection. In any case,
institutions should keep abreast of national and international initiatives that
are seeking to define and standardize statistical reporting of the number and
use of electronic information resources.
Several projects currently focus on collection of
statistics related to information resources:
The Association of Research Libraries (ARL) collects
statistics from libraries of large research universities in
The International Coalition of Library Consortia’s (ICOLC)
has created
Guidelines for Statistical Measures of Usage of
Web-Based Indexed, Abstracted, and Full-Text Resources. They encourage vendors of electronic
information products to build into their software statistical report generation
that will meet the ICOLC Guidelines, promoting comparability of products.
In
Library Statistics and
Measures, a web site maintained by Joe Ryan of
Another important type of post-processing is the
extraction of statistical information from metadata sets. For administrative
purposes, institutions may be interested in the number of ETDs supervised by
each professor, the keywords most used , the month(s) in which more ETDs are
submitted, etc. Usually, relevant metadata are extracted from the ETD database
and processed using specialized tools like Microsoft Excel. The access to the
database can be done using either ODBC drivers or specialized middleware
utilities.