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Published on: July 16, 2017
ResourceLog: an embeddable tool for dynamically monitoring the usage of web-based bioscience resources
Nian Liu1, Luis Marenco, Perry L Miller
1Center for Medical Informatics, Yale University School of Medicine, 300 George Street, Suite 501, New Haven, CT 06511, USA. nian.liu@yale.edu
Summary
ResourceLog is an open-source application designed for website administrators to track and analyze online resource usage. It aids in evaluating resource-driven web applications and understanding data sharing effectiveness.
Area of Science:
- Web Application Development
- Data Analytics
- Information Science
Background:
- Online resources require effective usage tracking for evaluation.
- Website administrators need tools to analyze user engagement.
- Assessing data sharing effectiveness is crucial for scientific communities.
Purpose of the Study:
- To introduce ResourceLog, an open-source application for recording and analyzing online resource usage.
- To provide a tool for website administrators to monitor user behavior and content utilization.
- To evaluate the effectiveness of data sharing in resource-driven web applications.
Main Methods:
- Developed ResourceLog with four components: logging, data mining, administrative interface, and back-end database.
- Embedded logging component to capture visitor and page request data.
- Implemented data mining for identifying heavy users and conducting voluntary surveys.
- Utilized administrative interface for monitoring usage and statistical analysis.
Main Results:
- ResourceLog successfully recorded and analyzed website resource usage.
- The data mining component identified key user segments for further engagement.
- Pilot implementation in SenseLab demonstrated the application's utility.
- The system facilitated monitoring and statistical analysis of web content usage.
Conclusions:
- ResourceLog offers a robust solution for evaluating resource-driven web applications.
- The application aids in understanding user engagement with online resources.
- It provides valuable insights into the effectiveness of data sharing initiatives.
