ER&L 2016: Collections and Use

Infographics
“Infographics” by AJ Cann

The Bigger Picture: Creating a Statistics Dashboard That Ties Collection Building to Research
Speaker: Shannon Tharp, University of Wyoming

How can they tie the collection building efforts with the university’s research output? Need to articulate value to the stakeholders and advocate for budget increases.

She used Tableau to develop the dashboard and visualizations. Started with a broad overview of collections and then have expanded from there. The visualizations include a narrative and an intuitive interface to access more information.

The dashboard also includes qualitative interviews of faculty and research staff. They are tentatively calling this “faculty talk” and plan to have it up soon, with rotating interviews displaying. They are thinking about including graduate and undergraduate student interviews as well.

 

(e)Book Snapshot: Print and eBook Use in an Academic Library Consortium
Speaker: Joanna Voss, OhioLINK

What can we do to continue to meet the needs of students and faculty through the print to electronic book transition? Are there any patterns or trends in their use that will help? Anecdotally we hear about users preferring print to electronic. How do we find data to support this and to help them?

They cleaned up the data using Excel and OpenRefine, and then used Tableau for the analysis and visualization. OpenRefine is good for really messy data.

 

A Brief History of PaperStats
Speaker: Whitney Bates-Gomez, Memorial Sloan Kettering Cancer Center

Web-based tool for generating cost-per-use reports. It’s currently in beta and only working with JR1 reports. It works most of the time for COUNTER and SUSHI reports, but not always. The costs function requires you to upload the costs in a CSV format, and they were able to get that data from their subscription agent.

But, too bad for you, it’s going away at the end of the spring, but there might be a revised version out there some day. It’s through PubGet and Copyright Clearance Center decided to not renew their support.

IL 2010: Dashboards, Data, and Decisions

[I took notes on paper because my netbook power cord was in my checked bag that SFO briefly lost on the way here. This is an edited transfer to electronic.]

presenter: Joseph Baisano

Dashboards pull information together and make it visible in one place. They need to be simple, built on existing data, but expandable.

Baisano is at SUNY Stonybrook, and they opted to go with Microsoft SharePoint 2010 to create their dashboards. The content can be made visible and editable through user permissions. Right now, their data connections include their catalog, proxy server, JCR, ERMS, and web statistics, and they are looking into using the API to pull license information from their ERMS.

In the future, they hope to use APIs from sources that provide them (Google Analytics, their ERMS, etc.) to create mashups and more on-the-fly graphs. They’re also looking at an open source alternative to SharePoint called Pentaho, which already has many of the plugins they want and comes in free and paid support flavors.

presenter: Cindi Trainor

[Trainor had significant technical difficulties with her Mac and the projector, which resulted in only 10 minutes of a slightly muddled presentation, but she had some great ideas for visualizations to share, so here’s as much as I captured of them.]

Graphs often tell us what we already know, so look at it from a different angle to learn something new. Gapminder plots data in three dimensions – comparing two components of each set over time using bubble graphs. Excel can do bubble graphs as well, but with some limitations.

In her example, Trainor showed reference transactions along the x-axis, the gate count along the y-axis, and the size of the circle represented the number of circulation transactions. Each bubble represented a campus library and each graph was for the year’s totals. By doing this, she was able to suss out some interesting trends and quirks to investigate that were hidden in the traditional line graphs.

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