eprintid: 1722
rev_number: 8
eprint_status: archive
userid: 35
dir: disk0/00/00/17/22
datestamp: 2018-06-10 21:59:34
lastmod: 2018-06-10 21:59:34
status_changed: 2018-06-10 21:59:34
type: conference_item
metadata_visibility: show
creators_name: Bearden, Rebecca
title: Managing Serials in Alma: Prediction Patterns, Claiming, and More
ispublished: pub
subjects: Alma
divisions: eluna_conf
abstract: The UCONN School of Law Library adopted Alma in early 2016. Technical services staff have faced many necessary changes in a new system environment since migration; one of which has been how to effectively handle their active print serials collection. This presentation will primarily focus on their experience with implementing and maintaining serial prediction patterns, utilizing the claims task list, and using the Reminders function for serials lifecycle management.
date: 2018-05-04
full_text_status: restricted
pres_type: other
event_title: ELUNA 2018 Annual Meeting
event_location: Spokane, Washington
event_dates: May 1-4, 2018
event_type: conference
refereed: TRUE
citation: Bearden, Rebecca (2018) Managing Serials in Alma: Prediction Patterns, Claiming, and More. In: ELUNA 2018 Annual Meeting, May 1-4, 2018, Spokane, Washington.
document_url: https://beta-documents.el-una.org/id/eprint/1722/1/Managing%20Serials%20in%20Alma%20Prediction%20Patterns%2C%20Claiming%2C%20and%20More.pdf