IOTA - Improving OpenURL Through Analytics

Welcome to the IOTA homepage! This initiative makes use of log files from various institutions and vendors to analyze element frequency and patterns contained within OpenURL strings.The reports created from this analysis inform vendors about where to make improvements to their OpenURL strings so that the maximum number of OpenURL requests resolve to a correct record.

There are several types of information available from the homepage:

• Membership roster: There are eight members in IOTA, representing academic libraries and commerical content vendors.
• Log file statistics: This sections provides a current listing of log files available for analysis.
• IOTA blog posts: Displays a snippet of content from this project's blog, http://openurlquality.blogspot.com
• Section for twitter posts on this project.

The homepage also contains a button, labelled Run Report, that allows you to launch an analysis on any of the available log files.

To get started, select the log file source from the drop-down. The log file sources that are currently available are listed on the Open URL Quality interface. You can then select the type of analysis you would like to perform. If you want to come back to this page, you can do so by selecting the Home breadcrumb on the top of any page.

 Element or string pattern variations for a source vendor or source database- Option allows you to perform metrics on a specific Open URL source vendor or source database (sid), based on openurl element or parameter pattern.

Core element frequency across source vendors or source database- Option allows you to perform metrics on the frequency a specfic openurl element is included as part of the openurl string for a specific source identifier or origin.

String pattern frequency across source vendors or source databases - Option allows you to perform metrics on the frequency a specfic parameter pattern is included as part of the openurl string for a specific source identifier or origin.