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Each session contains multiple presentations and will cost $25 per attendee. The $25 registration fee is per session per attendee for the live session and/or on demand recording. The registration and on-demand link are registered to each individual participant's email address.
Currently, there are no volume or bulk discounts for ELUNA Learns. ELUNA is committed to keeping the cost for our educational events affordable, especially in these budget-challenged times. In order to provide quality member-based programming, we ask that individuals register for each of the events that are relevant to their work. Sharing login information for group-viewing sessions undermines the ELUNA's ability to provide this programming. If you value this program and the community that provides this content, either via the face to face meeting or online, please register for each session you will attend with your email account
Discovery
August 25, 2021, 1:00 – 4:00 pm EST
1:00 pm - 1:05 pm. Introduction
1:05 pm - 1:45 pm. How to Integrate AI into Your Ecosystem: Visual Discovery & Full Text Search
1:45 pm – 1:50 pm. Break
1:50 pm - 2:30 pm. Using Generic XML to Create a Discovery Import Profile in Primo VE.
2:30 pm - 2:35 pm. Break
2:35 pm - 3:15 pm. Implementing the Collections Discovery Feature to Improve Access to Curated Content.
3:15 pm - 3:20 pm. Break
3:20 pm - 4:00 pm. Rapido First-Look: Overview of the New Discovery and Resource Sharing Experience From a Development Partner.
Applicable Ex Libris Products: Alma, Primo, Primo VE, Rapido
How to Integrate AI into Your Ecosystem: Visual Discovery & Full Text Search. Ruth Pickering, Yewno. (Gold Sponsor)
In this session, learn about the benefits of AI-based research including visual discovery, full-text search, topic and hypothesis honing, disambiguation, making semantic connections, and collection optimization. Yewno COO Ruth Pickering will explain how AI can help students, researchers and librarians manage the information overload problem, perform more efficient research, and locate quality supporting materials in less time than ever before. Participants will be able to understand how to incorporate AI tools into their current library ecosystems to maximize efficiency, access, and usability. She will demonstrate how Yewno Discover, the AI-based research platform, can be easily accessed via Primo (including VE).
Implementing the Collections Discovery Feature to Improve Access to Curated Content. Molly Arrandale, Montana State University; Hannah McKelvey, Montana State University.
This session will show attendees how to configure and implement the Collections Discovery feature in Alma and Primo to improve user access to curated content. The presenters will share how their library is using this feature to showcase popular reading collections and Archives and Special Collections materials. They will walk through how attendees enable Collection Discovery in the Primo Back Office and Alma, and they will share tips and tricks for improving the overall user experience of this tool. They will demonstrate how attendees can use logical sets or manually create collections of physical, digital, or electronic records in Alma. Attendees will also learn about the technical issues the presenters have experienced with this feature in their local environment, and the unseen effects they experienced as part of a consortium so that attendees will know what to expect if they choose to implement this tool.
Using Generic XML to Create a Discovery Import Profile in Primo VE. Jason Griffith, University of Kentucky.
The Kentucky Digital Newspaper (KDNP) program, at the University of Kentucky Libraries, seeks to preserve Kentucky newspapers and make them freely available. The KDNP offers over eighty-seven thousand metadata records of historical newspaper content. While UK Libraries is embarking on its Primo VE implementation, the idea to integrate KDNP content into Primo VE was proposed and thus a project began to import the records. We decided to use a Generic XML file to import the records into Primo VE. This required the creation of a Discovery Import profile in Alma which used a normalization process containing normalization rules to transform the XML into a Dublin Core record and to create local fields. This project also involved mapping local fields for display, creating a local resource type, creating thumbnail images, and indexing full text for searching. This presentation outlines the work we performed to import and display the content.
Rapido First-Look: Overview of the New Discovery and Resource Sharing Experience From a Development Partner. Greg Argo, University of St. Thomas.
As a development partner for Rapido, Ex Libris’s new Discovery and Resource Sharing solution, the University of St. Thomas Libraries worked to help design a library tool which better serves the needs and expectations of researchers and library staff. By utilizing current technologies, Rapido provides researchers with an integrated discovery-to-delivery experience which provides transparency and actionable information to improve decision-making and track the progress of requests. This presentation will review the current functionality offered by Rapido and describe how the software works. It will also touch on changes for staff, challenges in implementation, and early impressions from users.