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This e-journal discusses the usage patterns of e-journals in libraries and presents Maxdata, a model that compares costs and benefits of data collection methods. It aims to help libraries make the best use of data to optimize their investments.
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Scatter and Decay: E-Journal Usage Patterns Carol Tenopir, UT SIS Gayle Baker, UT Libraries David Nicholas,University College London
Maximizing Library Investments Through Better Data Gathering and Analysis: Maxdata
MaxData Objectives • To compare different methods of data collection • To develop a model that compares costs and benefits to the library of collecting and analyzing data from various methods • To help libraries make the best use of data
2 Findings for Today • Scatter • Decay
Scatter • To go in many directions • The relative dispersion of points on a graph, especially with respect to a mean value, or any curve used to represent the points. • Reading varies by subject discipline
Average Number of Articles Read per year by US University Faculty and Students by subject disciplines (surveys/all readings)
Downloads by Subject (Sept – Nov 2005) - 4 Ohio universities
Number of downloads by subject (staff v student) - Sept to Nov 2005, 4 Ohio universities
Average number of seconds per view by subject Sept – Nov 2005 - 4 Ohio universities
Full text downloads cumulated per title, Sept – Nov, 2005 UTenn
Full text downloads cumulated per title, Sept – Nov, 2005 - 4 Ohio Universities
Decay • the process of gradually becoming inferior • a gradual decrease • Reading falls by age of articles
Decay in article downloads (by year) – Sept to Nov 2005 4 Ohio universities
Nicholas, Huntington, Jamali and Tenopir. Article Decay in the Digital Environment: An Analysis of Usage of OhioLINK by Date of Publication, Employing Deep Log Methods, JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 57(13):1840–1851, 2006.
Decay of Article Readings by Subject Discipline: U.S. Faculty
Decay in article downloads (by year) - Sept to Nov 4 Ohio universities – by subject
Next Steps • Continue to analyze, compare, and contrast various methods • Examine more possibilities of log collection in libraries • Calculate time/cost of all methods • Compare benefits of all methods with costs