Getting a handle on your data is a big deal.
More and more people are having conversations about the next steps for their data. People have been collecting it for years and years. This was the major focus for some time. It was the pressing priority. We have to track things. This led to — let’s just track everything…in case we need that data. This exchange surrounding data is an ever-evolving one and at Springshare we are dedicated to propelling our libraries beyond recording to real reporting. LibInsight allows your data the ability to matter, to perform.
We’re highlighting the inspiring dig into the data attitudes of two terrific clients. Check out the types of datasets they’ve made, what they’re able to see with their data all in one place, and in what way the data can be used. It’s off the charts exciting!
Datasets to love.
Buffalo State started out using Springshare’s LibInsight Lite (formerly LibAnalytics) in 2012. They upgraded to the full LibInsight system in 2016. Before our tools, they were primarily using spreadsheets for their data. Joe Riggie, the Information Systems Librarian said that the deciding factor in moving forward with the upgrade was the fact that LibInsight has “cross-dataset analysis, SUSHI support, and enhancements (cost data, file uploads, etc.).”
The first datasets they made were for Gate Counts, ILL Lending, Circulation, etc. As they worked on, they learned valuable things that can benefit others. Joe said, “Our original database metric dataset only used SUSHI and so we ended up with usage data at the vendor (Gale, ProQuest, etc) level. We wanted more granular results so we set up a new dataset that used uploaded COUNTER reports to get usage data at the platform level (Academic Search Complete, ARTSTOR, etc).” Now, the most popular datasets are ones for Database usage, Circulation and EBook usage.
Today, capturing the right data and being able to generate the reports you need is the most efficient way to get the most out of your efforts to analyze. Joe said, “We have produced reporting for accreditation…” This is thrilling for us at Springshare. Joe says the Butler Library at Buffalo State uses LibInsight to “compare the changing patterns of book/ebook usage. We can compare traffic (gatecount) to the use of library services (circulation). We can easily obtain cost per download data for ejournals and databases. We have used LibInsight for collection development and weeding.”
And they’re generous enough to offer a tip to everyone. “We have noticed that many vendors add hidden columns into COUNTER reports and the uploads will fail until you find and remove them.”
We’re so excited about how Buffalo State has raised their dataset game in just the last 2 years with the full LibInsight system.
Unlimited datasets = unlimited experimenting.
Also having started out with LibInsight Lite (back in 2014), Greta Valentine, the Research and Data Analyst of the University of Kansas Libraries said they upgraded to the full LibInsight in 2016. Greta said, “We liked that it allowed for cross-dataset comparisons, and that it included the ability to upload large batches of data ourselves. We also liked that we could create unlimited datasets so we could test various collection use cases on an experimental basis. We also found the automatic import of data via SUSHI harvesting appealing, and are now in the beginning stages of implementing this since the tool we were using to ingest COUNTER data previously is no longer supported.”
Greta explains that they first began to use LibInsight Lite to create datasets necessary for their ARL (Association of Research Libraries) Annual Statistics report. These stats have been collected and published annually since 1907. Now, they’re using LibInsight to get some of the pertinent numbers. Greta said, “These included our Service Desk Statistics dataset (all transactions at our circulation/reference desk plus chat questions), Instruction (information about instruction sessions), and Consultations (information about research consultations performed off the reference desk.) When we transferred to [Lib]Insight we added more datasets that included a much higher volume of data, such as data from our Voyager ILS about Interlibrary Loan and Circulation transactions.”
Springshare knows it’s not just Reference Service these days, it’s Customer Service. Serving their patrons is one of the highest ranking priorities at the University of Kansas. This is exhibited in their dataset popularity. Greta notes, “The most-used dataset continues to be our Service Desk Statistics dataset, which includes all interactions at our combined reference/circulation desk, as well as reference questions/referrals answered via chat. Late in 2016, we began using LibAnswers to record chat questions since it provided the interface to capture both walk-up and chat questions directly, as well as the ability to create tickets for questions received via e-mail. This also allows us to track referrals. We use [Lib]Insight primarily as a repository to hold this data (we upload it from LibAnswers quarterly) so we can view the number of transactions longitudinally along with older data.”
What else are the KU Libraries doing with LibInsight? Greta answered that “In addition to providing the numbers for our ARL Annual Statistics, the Libraries is participating in a longitudinal study with the Greater Western Library Association (GWLA) to see how library instruction affects student success.”
And, this is exactly what makes the data discussion important. What is not up for debate here is how collecting the data is the first step. Libraries are doing that — have been doing that. But it would be amazing if you could make data-driven decisions! It’s exciting to be able to use LibInsight to analyze the data in a meaningful way so that you can see how library instruction affects student success. This is what you need today and going forward — to have the ability to examine relationships and test possible correlations, and to cut through that data to what you want to extract quickly so you can get to the answers.
LibInsight: Empower Staff to Make Data-Driven Decisions
Monday, July 16 — 11:30 am – 12:00 pm
Tuesday, July 24 — 3:30 pm – 4:00 pm
If you can’t attend these dates and times, register so you can opt to receive the recording. To get more information on LibInsight, contact email@example.com.