OCLC Resource Sharing Conference 2018

I propose to present my experience with an ongoing data visualization project, in which I use Tableau to create visualizations based on resource sharing data. Data visualization can be an impactful way to show the value of resource sharing work to administrators and the public. _x000D_
In this session, I intend give a very brief overview of useful concepts and the software used (Tableau), discuss project planning and issues I encountered, and show my final visualizations. My visualizations will include traditional metrics, such as statistics on fill rates and turnaround times, but also other ways we can show the value of our work (for example, by visually showing how resource sharing work connects and helps other areas of the library, or mapping where borrowed material originates). _x000D_
By sharing my own experience in which I started from scratch, I hope to encourage others who are curious about using data visualization to show the value of their work.

In an effort to understand the validity of self-reported Interlibrary Loan (ILL) statistics, University of South Carolina librarians developed a survey to determine how libraries classify, categorize, and report ILL data. In May 2016, we emailed all 116 Interlibrary Loan departments within the Association of Research Libraries with a request to complete our survey. We will discuss our results and the implications that these results have on the validity of reported ILL statistics. We will explore possibilities for expanding this research and argue for more standardized collection and reporting practices.