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Lied, Terry R.; Tolliver, Don L. – Journal of the American Society for Information Science, 1974
Through utilization of effective sampling procedures, libraries may obtain substantial savings in terms of data collection costs. (Author)
Descriptors: College Libraries, Data Collection, Databases, Libraries
Peer reviewed Peer reviewed
Martin, Jean K. – Special Libraries, 1974
Application of a generalized data base management system enabled the new Physics-Mathematics-Astronomy Library to couple the immediate needs of moving and integrating two libraries with long-term capabilities. (Author)
Descriptors: College Libraries, Data Collection, Databases, Information Retrieval
Palmer, David C., Ed. – 1970
A design for a nationwide system of library statistics is provided along with specific recommendations for its structure and development. The proposed system depends upon a much more active role of the states and upon the input of research, interaction of advisory groups, inservice training, and relatively small amounts of money at strategic…
Descriptors: Data Collection, Data Processing, Databases, Information Needs
Peer reviewed Peer reviewed
Hyland, Peter; Wright, Lynne – Australian Academic & Research Libraries, 1996
Collecting statistical data about database usage by library patrons aids in the management of CD-ROM and database offerings, collection development, and evaluation of training programs. Two approaches to data collection are presented which should be used together: an automated or nonintrusive method which monitors search sessions while the…
Descriptors: Academic Libraries, Data Collection, Databases, Evaluation Methods
McClure, Charles R.; And Others – 1991
This report presents a summary of activities, findings, and recommendations from Phase I of a project to improve the effectiveness of academic health science libraries and their provision of information services. The objectives for Phase I of the project are given: (1) to identify academic health science library requirements in the areas of…
Descriptors: Academic Libraries, Data Collection, Data Interpretation, Databases