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….
In our October 2017 SpringyNews Newsletter, we informed Springy users that recent updates to web and mobile browsers (Chrome, Firefox, Safari, etc.) mark any HTTP webpage that contains form content as insecure. Meaning that any public webpage containing a search box, LibCal booking form, or LibAnswers Question Submission form will…
Customize your LibInsight charts to match your organization’s official color palette, or customize Dashboards per review period or project. Define your custom colors at the system-wide level and you’ll see them in your dataset analysis charts, cross-dataset analysis, and dashboards. Head on over to System Settings to set your system…
Hey there LibInsight users, we’ve released a bunch of new features for some summer data fun! Database & eBook Invoice Line-Items and Cost-per-use Statistics Last month we added the ability to attach invoices to your E-Journal & Database and eBook platforms; this month brings more invoicing goodness: line items! Adding…
We have some fantastic news for Electronic Resources Librarians as we head into invoicing and end-of-year stats gathering season. Are you ready for database-level statistics?? With the latest LibInsight code release, you can upload the COUNTER Database Report 1 (DB1)—either by uploading files or by retrieving them via SUSHI, if the publisher…
Springys will be heading to Atlanta this week for ALA Midwinter 2017, but Springy HQ is still rocking and rolling out new features this week! First up is LibInsight 0.15, now available in a browser near you! Here’s the rundown: Counts/Aggregate Dataset Type As librarians, we count a lot of…
New Chart Type in Dashboards We’ve added a new chart option in Dashboards; the new Stacked chart option lets you visualize the multi-select or single-select fields in your custom datasets in a new way. Here’s a side-by-side comparison: While both visualize how different answers compare to one another, stacked charts…
