relation: https://beta-documents.el-una.org/id/eprint/1860/
title: Improving the User Experience in Primo by Optimizing Data in Alma
creator: Chen, Mingyu
subject: Primo
description: This session will share our experience and tips in optimizing data in ALMA to support a better user experience in Primo. Making data discoverable in Primo requires knowing how Primo uses and displays Alma data. Library data is massive and scattered. Years of local cataloging practices, changes in those practices, and several migrations later we find that there are still plenty of display issues, broken or mismatched links and problems that just need to be solved. Learn to identify, troubleshoot and create solutions to some practical processes which may be employed to improve discoverability using subject keywords and locally created series.
date: 2019-05-02
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://beta-documents.el-una.org/id/eprint/1860/1/Improving%20the%20User%20Experience%20in%20Primo_2019.pdf
identifier: Chen, Mingyu (2019) Improving the User Experience in Primo by Optimizing Data in Alma. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA.