Using SFX usage-data to build a real-time “popular resources” series for the Library web site.

Abstract

Abstract: Over the past two years, we have seen some institute’s efforts in extracting data directly from SFX statistics tables, to generate customized reports for security management or collection development. What about using this “big data” for other purpose? This presentation will showcase a new ‘most popular’ series that features our university’s most accessed databases, journals as well as daily popular articles.The service which directly get access data from SFX stat_object and stat_offline tables is refreshed in real-time. Although Ex Libris provides its “hot articles” service for general audience, our version is based upon our local usage data and targets a specialized health sciences university. These highly demanded resources are being given priority and presented on the library’s front page so that our users can quickly and easily go to the resources. Implementation detail of the project will be presented.