Just a quick post to let you know that on Wednesday, July 18, at 11:00 a.m. Eastern time, we will be moving the US LibAuth server to new hardware. We’ve chosen this time because it seems to be the slowest time for all our US and Australian customers using this server. There will be up to 5 minutes of downtime while we make this change, which means that logging in via LibAuth for US customers may be unavailable during this time. No other application or function will be affected. The IP address of the server will NOT change, so if your use of LibAuth relies on letting a certain IP address through the firewall, you can rest assured; that will still work.
Archive for July 16, 2018
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 firstname.lastname@example.org.
It’s nearly Independence Day here in the U.S., and your friends at Springy have a firecracker of an announcement for you: SUSHI scheduling! You can now schedule the automated harvesting of supported SUSHI reports, on a monthly, quarterly, semi-annually, or annual basis, to your E-Journals / Databases or eBooks datasets. Gone will be the days of retrieving one file at a time (but you still can, if you want to!). Just set it, and forget it, until it’s time to analyze. You will receive an email each time a file is successfully harvested and added to your dataset, or if a fetch fails for any reason.
Here’s what you’ll need to get started:
- Your SUSHI credentials from e-resources vendors.
- The list of reports that are supported by each vendor. We support DB1(r4), DB3 (r3), PR1 (r4), JR1 (r4), BR2 (r4), but not all vendors make all of these available via SUSHI.
- A LibInsight E-Journals / Databases dataset, or an eBooks dataset, with platforms added.
Protip: Be sure to specify your SUSHI provider in your platform information. This will mean that the SUSHI provider is pre-selected when you set up a new SUSHI schedule. To get to Platform Information quickly, click Datasets in the orange command bar and look for the cog icon.
ICYMI – Other Recent Updates
It’s now possible to add Cost Data for future years.
Regular users with a dataset Admin permissions are now able to add platforms.
- We added support for SUSHI harvesting from Thieme, Adam Matthew Digital, Lexis/Nexis, and Springer Nature.
If your custom dataset’s timestamp is set to “Show One Date Only,” and the field is set to “Show Time,” a time picker is displayed rather than a date picker.
We fixed a couple of issues with chart labels.
We now accept dash-delimited data in addition to slash-delimited data. (Slash dot dash dot!)
You can add a chart to a Dashboard graphing “Entered by” for the records in a dataset. Useful if Reference transactions or Instruction session data are entered by lots of different people.
Numeric fields used in Dashboard charts are SUMmed rather than COUNTed.
If a field is used in a Dashboard, you will not be able to delete it from its dataset until you remove it from the Dashboard.
LibInsight now uses HSTS, and all API endpoints are HTTPS.
If you delete custom chart colors in System Settings, we’ve restored the defaults for you.
You can now download all library data from your Gate Count dataset in Analysis, rather than one library at a time.