The Importance of Identifying and Accommodating E-Resource Usage Data for the Presence of Outliers. The Negative Impacts of Inaccurate E-Journal Usage Data.

  • Alain R. Lamothe Laurentian University

Abstract

This article presents the results of a quantitative analysis examining the effects of abnormal and extreme values on e-journal usage statistics. Detailed are the step-by-step procedures designed specifically to identify and remove these values, termed outliers. By greatly deviating from other values in a sample, outliers distort and contaminate that data. Between 2010 and 2011, e-journal usage at the J.N. Desmarais Library spiked as a result of illegal downloading. The identification and removal of outliers had a noticeable effect on e-journal usage levels. They represented over 100,000 erroneous articles downloaded in 2010 and nearly 200,000 erroneous downloading in 2011.

Author Biography

Alain R. Lamothe, Laurentian University

Department of Library and Archives

Associate Librarian

Published
2014-06-22
How to Cite
Lamothe, A. R. (2014). The Importance of Identifying and Accommodating E-Resource Usage Data for the Presence of Outliers. The Negative Impacts of Inaccurate E-Journal Usage Data. Information Technology and Libraries, 33(2), 31-44. https://doi.org/10.6017/ital.v33i2.5341
Section
Articles