Liu Nian, Marenco Luis, Miller Perry L
Center for Medical Informatics, Yale University School of Medicine, 300 George Street, Suite 501, New Haven, CT 06511, USA.
J Am Med Inform Assoc. 2006 Jul-Aug;13(4):432-7. doi: 10.1197/jamia.M2013. Epub 2006 Apr 18.
The present study described an open source application, ResourceLog, that allows website administrators to record and analyze the usage of online resources. The application includes four components: logging, data mining, administrative interface, and back-end database. The logging component is embedded in the host website. It extracts and streamlines information about the Web visitors, the scripts, and dynamic parameters from each page request. The data mining component runs as a set of scheduled tasks that identify visitors of interest, such as those who have heavily used the resources. The identified visitors will be automatically subjected to a voluntary user survey. The usage of the website content can be monitored through the administrative interface and subjected to statistical analyses. As a pilot project, ResourceLog has been implemented in SenseLab, a Web-based neuroscience database system. ResourceLog provides a robust and useful tool to aid system evaluation of a resource-driven Web application, with a focus on determining the effectiveness of data sharing in the field and with the general public.
本研究描述了一个开源应用程序ResourceLog,它允许网站管理员记录和分析在线资源的使用情况。该应用程序包括四个组件:日志记录、数据挖掘、管理界面和后端数据库。日志记录组件嵌入在主机网站中。它从每个页面请求中提取并精简有关网络访问者、脚本和动态参数的信息。数据挖掘组件作为一组计划任务运行,识别感兴趣的访问者,例如那些大量使用资源的访问者。被识别出的访问者将自动接受一项自愿用户调查。网站内容的使用情况可以通过管理界面进行监控并进行统计分析。作为一个试点项目,ResourceLog已在基于网络的神经科学数据库系统SenseLab中实施。ResourceLog提供了一个强大且有用的工具,以帮助对资源驱动的网络应用程序进行系统评估,重点是确定该领域与公众之间数据共享的有效性。