Related Experiment Videos
COCTAILS: automated interlibrary loan statistics at health sciences library, SUNYAB
Bulletin of the Medical Library Association
|April 1, 1977
Summary
An automated system streamlines interlibrary loan statistics compilation for improved collection development and user services at a health sciences library. This enhances data accuracy and reporting efficiency for library management.
Area of Science:
- Library and Information Science
- Health Sciences Librarianship
Background:
- Traditional interlibrary loan (ILL) processes can be labor-intensive for statistical compilation.
- Accurate ILL data is crucial for effective collection development and service evaluation.
Purpose of the Study:
- To describe an automated system for interlibrary loan statistics compilation.
- To highlight the system's utility for collection development and user service enhancement.
Main Methods:
- Implementation of an automated system for ILL statistics.
- Standardization of data input for consistent reporting.
Main Results:
- The system generates various statistical reports from standardized input.
- Additional data is provided to support collection development decisions.
Conclusions:
- Automated systems can significantly improve the efficiency of ILL statistics management.
- Enhanced data facilitates better library resource allocation and user support.