<mets:mets OBJID="eprint_1426" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-07-15T10:48:08Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>ELUNA Document Repository</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_1426_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>Alma Prediction Pattern Basics</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Rebecca</mods:namePart><mods:namePart type="family">Bearden</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>The University Of Connecticut School Of Law Library went live with Alma in February 2016. They completed prediction patterns set up for their entire current continuous/serial print collection by April 30, 2016. Self-taught, the serials staff dedicated a large amount of their time for three months to learning how to create appropriate captions and patterns for their complex serial collection including journals, looseleafs, interactive sets, and more.  This presentation will share their method and approach, basics of setting up predictive serials, tips and tricks, and lessons learned.</mods:abstract><mods:originInfo><mods:dateIssued encoding="iso8601">2016-10-28</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_1426"><mets:rightsMD ID="rights_eprint_1426_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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