https://beta-documents.el-una.org/id/eprint/1722 2018-06-10T21:59:34Z info:eu-repo/semantics/descriptiveMetadata https://beta-documents.el-una.org/id/eprint/1722/ Managing Serials in Alma: Prediction Patterns, Claiming, and More Bearden, Rebecca 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. 2018-05-04 Conference or Workshop Item PeerReviewed application/pdf en https://beta-documents.el-una.org/id/eprint/1722/1/Managing%20Serials%20in%20Alma%20Prediction%20Patterns%2C%20Claiming%2C%20and%20More.pdf Bearden, Rebecca (2018) Managing Serials in Alma: Prediction Patterns, Claiming, and More. In: ELUNA 2018 Annual Meeting, May 1-4, 2018, Spokane, Washington. info:eu-repo/semantics/objectFile info:eu-repo/semantics/humanStartPage