Implementing Predictive Check-in at UCLA
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Implementing Predictive Check-in at UCLA
A Case History
April 28, 2007EndUser 2007 ConferenceSchaumburg, IL
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Presentation Team
Lola Willoughby – Chair of the Voyager Acquisitions Implementation Team
and the Voyager Predictive Serials Check-in Implementation Team
Reynaldo Quitos– Check-in & Bindery Section Head of the UCLA Library Print
Acquisitions Department Adam Benítez
– Acquisitions Coordinator for the UCLA Law Library and will obtain his MLIS from UCLA in June 2007
Jeff King– Serials Claiming, Invoicing & E-Resources Specialist
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UCLA’s Library Systems Orion
– Early 80’s up to 1998– Included predictive check-in
17 patterns DRA Taos & DRA Classic
– Taos for OPAC, Circulation & Cataloging– Classic for Acquisitions– From 1998 to 2004
Endeavor Voyager– 2004 to present
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The UCLA Library
http://www2.library.ucla.edu/libraries/533.cfm
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30,000 Serials
Difficult to determine exact number due to: – Multiple migrations– Backlogs– Cancellations/ceased
titles– Cataloging & Acquisitions
practices
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UCLA Serials Predictive Check-in Team
Expand use of Voyager features:– Check-in– Claiming– Bindery
Training & Documentation
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Implementation timeline
August 2005 - Social Sciences, Humanities, & Arts Print Acquisitions (SSHAPA) begins
October 2005 – additional training for SSHAPA staff November 2005 – Sciences Acquisitions begins January 2006 – Law Acquisitions begins April 2007 – 7,510 titles coded for predictive check-in
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Learning what to do
Yale and Cornell Cornell’s patterns Voyager’s patterns
– 400+ available “out of the box”– Deleted these types:
Non-English enumeration Non-UCLA labeled descriptions
– Currently use 346 patterns
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Current Pattern Count
Currently using 346 publication patterns– 160 “out-of-the-box” supplied by Endeavor– 186 original created by UCLA
107 basic patterns 79 complex patterns
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Things we are not predicting
Titles with irregular publication schedules Complex patterns Newspapers Monographic series Titles with bimonthly and semi-weekly
patterns
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Training & Documentation
Need highly skilled staff– Pattern assignment is complex & detailed
Unit specific processes– Larger units not using claiming function– Not all units adding components for supplements
and indexes– Some units will never code for prediction
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Implementation
Reynaldo QuitosUCLA Library Print AcquisitionsCheck-in/Bindery Section Head
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Preparation for UCLA’s Implementation of Predictive Check-in
Re-linking projects
Recruitment of temporary contract employees
Training
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UCLA’s major Acquisitions Depts.
Research Library– Social Sciences, Humanities, & Arts Print
Acquisitions
Law Acquisitions
Sciences Acquisitions
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Other UCLA Library Acquisitions
Special Collections
East Asian Library
Management Library
Music Library
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UCLA Research Library Acquisitions
Social Sciences, Humanities, & Arts Print Acquisitions (SSHAPA)– Arts Library– College Library– Research Library
Began implementation August 2005
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Research Library’s Plan
Hire 4 full-time temporary contract employees Delegate re-linking to career staff Delegate current work to contract employees
– Back-up for tasks done by career staff– Back up for predictive check-in
Assign patterns while doing check-in Set-up components for 3 libraries with multiple
shelving locations
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Law Library’s Plan
Began implementation January 2006
No extra staffing Re-linking work finished in advance Neat & Clean cut-off of holdings displayed in
OPAC Patterns assigned during check-in and
binding
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Implementation Process for Sciences Acquisitions
Project plan Data gathering, set-up Timeline Statistics Training Quality Control Voyager Predictive Check-in
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Sciences Acquisitions’ Plan
Recruitment of one temporary contract employee for 6 months
4 major unbound periodicals locations– Science & Engineering Library (3 locations)
Geology, Chemistry, EMS– Biomedical Library
Set-up in advance of check-in of 1st issue Review of ca. 3,500 titles
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Data gathered to assign pattern and claim interval
Publication schedule from verso Total number of issues per volume Total number of volumes per year Total number of issues per year Anomalies to regular prediction
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Compare to Voyager Cat. holdings
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Edit Voyager Cat. holdings to end “866”
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Assigning a predictive component
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Testing the prediction
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Adjusting “expected date”
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OPAC display before prediction
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OPAC display after Predictive Check-in
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What One Person Can Do!
Pilot project for Geology Collection’s 160 titles– November 2005– 106 titles out of 160 predicted (66%)
Projection of Workload:– One contract employee could review approximately 4,000
titles in 5 months, or 800 titles per month– Approximately 2,400-2,500 (about 60%) could be set-up for
prediction in 5 mos., or 480-500 per month
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Sciences Acquisitions’ Timeline
February 2006– Meg Rodriguez begins with Chemistry’s 180 titles
March-April 2006– Engineering & Math Sciences’ 850 titles
April-July 2006– Biomedical Library’s 2,200 titles
August 2006– “real-world” stats:
95/150 titles per week, or 380/600 titles predicted per month (63%)
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UCLA’s Statistics: August 1, 2006
Sciences Acquisitions’ statistics:Total # of titles predicted: 2,200Total # of titles reviewed: 3,415
(Sciences Acquisitions entered 33% of all predicted titles for the UCLA Library & re-linked nearly 6,500 records after review of about 7,600 purchase orders)
Statistics for all UCLA Library (Social Sciences, Humanities, & Arts Print Acq., Law Acq., Sciences Acq.):
Total # of titles predicted: 6,731
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Sciences’ Statistics
2235
843
176
161
1330
643
121
106
0 500 1000 1500 2000 2500
Biomed (59.5%)
EMS (76.3%)
Chemistry(68.7%)
Geology (65.8%)
Reviewed Total (3,415) Predicted Total (2,200)
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Results from Sciences’ Implementation
Title is predictable- Use basic pattern- Create original basic pattern
if no existing pattern or has bugs
Title is canceled or ceased- No efforts made toward
setting up prediction Title is too irregular to
predict- Option to use “complex”
patterns in Voyager- Option to use “non-predictive
component” for irregulars
Complex or Irregular 25%
Canceled or Ceased 10% Predictable 65%
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Training
How to Check-in Predicted Issues
Location-by-location basis
Quality Control– Pattern Changes– Fixing Problems– Clean-up Project
Bind canceled/ceased titles
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15 Voyager Frequency Groups
An (annual, 1 piece/yr.) Be (biennial, 1 every 2 yrs.) Bm (bimonthly, 6/yr.) Bw (biweekly, 26/yr.) Da (daily, 365/yr.) Mo (monthly, 12/yr.) Qr (quarterly, 4/yr.) Sa (semiannual, 2/yr.) Sm (semimonthly, 24/yr.) Sw (semiweekly, 104/yr.) 3xWk (three times a week, 144/yr.) 3xMo (three times a month, 36/yr.) 3xYr (three times a year, 3/yr.) Tr (triennial, 1 every 3 yrs.) Wk (weekly, 52/yr.)
Each frequency is manipulated by using a combination of enumeration & chronology patterns, to create as many patterns as needed
Match patterns with publication schedules
UCLA currently uses about 350 patterns, each of which is based on one of these 15 frequencies
1st segment of Pattern Structure
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Pattern Structure
1 2 3
Qr-v,4no|yr
1 2 3
{frequency}-{enumeration}|{chronology}
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Pattern Structure: Enumeration
2
Qr-v,4no+|yr 2nd segment
{ 1st level cap.},{max# for 2nd level cap.}{2nd level cap.}{“+” if needed for cont.} v 4 no +
(does not Restart)
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Using “year” as primary enumeration
18 issues per year– 3 volumes per year– 6 issues per volume
Mo=12/year, Sm=24/year Use “semi-monthly”
Sm-yr,3v,6no
Semi-monthly frequency = Sm
1st level = yr Max # for 2nd = 3 2nd level = v Max # for 3rd = 6 3rd level = no
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How it works
1 2 3 1 2
Qr-v,4no|yr Sm-yr,3v,6no
Segment 1 is the frequency, followed by “-“{frequency group}-
Segment 2 is the enumeration, followed by “|”{1st level cap.},{max# for 2nd level cap.}{2nd level cap.}{“+” if needed for cont.}|
– Level captions are separated by commas– 1st level caption cannot repeat.
Segment 3 is the chronology{chronology for yr,mo,day as needed}
– Terms are separated by commas– note: do not use chronology if year is used in enumeration.
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Bindery, Claims and Work-Arounds
Adam BenítezUCLA Law LibraryAcquisitions Coordinator
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UCLA Bindery
4 sections:– Biomedical Library– Law Library– Young Research Library
Service point for Arts, College, East Asian, Management & Music libraries
– Science & Engineering Library University of California Bindery - Oakland, CA
– Services all 10 campuses
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LARS Bindery System
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Supplements & Indexes
Bound together with corresponding volume
Deleted from holdings– For predicted issues, undisplay from Serials
History
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Bindery using Voyager
Bindery Maintenance set-up Bindery shipment preparation Bindery returns
– Processed via Cataloging Client.
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Bindery Maintenance Set-up
Create volumes:– Set up 3-5 volumes
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Bindery Maintenance Set-up
Bindery Notes– Library Instructions field
Bib or Holdings ID = LARS internal ID Indicate supplements and indexes Special instructions
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Bindery Pull Slip
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Bindery Shipment Preparation Creating item record
– Indicate “at bindery” status
– Temporary barcode is the LARS job/piece#
– Edit item type, enumeration, chronology and copy as necessary
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Bindery Shipment Preparation Collapse in Bindery Maintenance
– Undisplay of unbound– Creates 85X/86X fields in holdings
Delete volume in Bindery Maintenance
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OPAC Display of Collapsed Volume with “At Bindery” Status
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Bindery returns
Processed in Cataloging client by students Add “real” barcode
– Keep temporary LARS job/piece barcode as inactive
Remove “At Bindery” status
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Alternate/Legacy Bindery Processing
No pull slips, pull by sight If no predictive check-in, edit 866 If predictive check-in
– No collapse– Undisplay unbound issues via Serials History– 866 to maintain bound volumes– Item created via Cataloging Client
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Claims
Address “problem”– Multiple shelving locations– Required custom programming to fix
Unwieldy problems list
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Workarounds – Pattern Manipulation
Year as primary – Label “yr.”– Requires clean up with item creation
Use of monthly for 2-12x/yr– Month must be included in pattern– Requires clean up during check-in
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Workarounds – Bindery
No volumes created in Bindery if title has index – Index acts as “pull slip”
Added issue deleted after collapse
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Workarounds – Customized Reports
Components Problems Marked issues
– Skipped & Overdue
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Workarounds – Skipped Issue Report
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Workarounds – Claiming
OLGA -- Since 1998– MS Access for monitoring serial claims, produce
claim letters Vendor website Email Phone Catch during
Bindery
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Workarounds – Claiming Impact
Increase in claiming
Still claiming on demand for non-predicted titles
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Conclusion
Lola WilloughbyVoyager Predictive Check-in Team Leader
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Future plans
Claiming EDI claiming Bindery
– New version of LARS to interface with bindery maintenance
Complex patterns Training of additional units
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Resources
http://lawlib.law.ucla.edu/techserv/benitez/enduser2007/resources.htm
Includes:– Procedural documentation– Quick reference guides– This presentation
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Implementing Predictive Check-in at UCLA
Adam Bení[email protected]
Reynaldo [email protected]
Lola [email protected]