2010 nasig integrating_usage_statistics
DESCRIPTION
ERMTRANSCRIPT
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INTEGRATING USAGE STATISTICS INTO COLLECTION DEVELOPMENT DECISIONSLinda Hulbert and Dani RoachUniversity of St. Thomas, St. Paul, MNNASIG
2010
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Overview
Linda Hulbert, Associate Director, Collection Management and Services
Dani Roach, Head of Serials and Electronic Resource Acquisitions
Why it mattersWhat data is availableGathering methodsCompiling and analyzingOutcomes
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Assessment? Let me count the ways…
LibQualSAILSAcademic Library SurveyDatabase evaluationsUsagePeer comparisons
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Types of assessment
Cost per useFunds (Disciplines)Historical trendsILL dataImpact factorsROI
ReviewsAvailabilityFeaturesUser feedbackWeightingExperience
Quantitative Qualitative
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“…the amount of time libraries spent on collecting and analyzing usage statistics varied from one hour a year to 2,080, with an overall median of 98 hours. Generally, more time was spent on collecting the usage statistics than in analyzing them.” (Conyers)
Data, Data, What Data?
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Formula for creating ‘data’
Usage Statistics+ Variables for Analysis + Methods for Analysis +
Tools/Systems/Standards
= Data for Analysis
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How many ways to present the numbers?
Current print journal subscriptions cost per useSerials Solutions 360 Counter reportsDatabase evaluation checklistsVendor provided reportsHistorical print usage
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Does the right hand know what the left hand is counting?
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Sources for usage data
PrintUsually gathered at re-shelvingTick marks, spreadsheets, ILS item records
OnlineProvided by vendor/third partyPush or pull (systems and/or staff)Multiple levels reported
OtherERMS statistics (e.g. click-through); web logs
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Variables for analysis
TitleFunds/SubjectsOrder status; formatCost; subscription periodOther identifiers (ISSN, vendor, bound vs. current issues, etc)
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What is cost?
Annual subscriptionsMultiple paymentsMultiple fundsOne time archive feesHosting feesIncludes single title databases, e-journals, and now e-books
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Methods for analysis
“The challenge most often mentioned in making effective use of vendor usage statistics was inconsistency of the data or lack of standards.” (Baker and Read)
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What to include as use?
Counter and non-Counter compliantNon-journal titlesZero-use titlesIntegrating use for all formats
Non-Counter compliant dataLeading articles, foreign language titlesCombining data from variety of vendorsFiscal year data
What about… How to present…
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Challenges of integrating data
ExtractingExchangingRedundant enteringSyncing silosMaintaining
Multiple sourcesInaccurate, incompleteUnavailableRedundant dataSyncing silos
For Costs For Use
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How many systems do YOU use?
ILS (Innovative)ERMS (Serials
Solutions)Serials database
(Access)CSV, text files, ExcelVendor admin
modules
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Local tool: Serials Database
Microsoft Access databaseTracks all active serial subscriptions; maintainedStores usage dataUse to build use reports, subscription lists, database evaluation check lists, etc.Built using info from ILS
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Resources for annual serials review
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Example: PRINT subscription cost per use
1. Collect usage when re-shelving; scan matching barcode
2. Use ILS item records to store current vs. bound use
3. Download usage statistics4. Massage with Excel5. Upload into Access Serials
Database; create cost per use reports
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PRINT subscriptions – Cost per Use Report
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Example: ONLINE subscription cost per use
1. Pull online use stats from vendors
48. Upload into ERMS49. Pull costs from ILS61. Upload cost into
ERMS62. Cost per use
integrated
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Connecting Silos
ERMS
E-Resource Information (with
fields for cost)
ILS
Cost Data in Order Records
Merge and Upload cost
file into ERMS
Output selected cost fields to an Access Table
Output template of subscribed
resources to an Access Table
Use text files, Excel and Access to move data back and forth as needed.
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JR1 ONLINE Cost Per Use Report
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=(Q4* $Q$2)+(R4* $R$2)+(S4* $S$2)+(P4* $P$2)
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The Fairness Factor
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Capital vs. Operating
Capital/InsurableBooksStanding OrdersPeriodicalsPreservationMicrofilmItems exceeding $2,000
Operating/EphemeralPencilsPaperComputer leaseTravelDuesE Resources
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Sharing the work for collection management
RoundtablesBusiness Librarians Roundtable (BLRT)Social Sciences Librarians Roundtable (SSLRT)Humanities and Arts Librarians Roundtable (HART)Science and Technology Librarians Roundtable (SATLRT)Reference Materials Roundtable (R-MART)
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240 funds just for materials!
BooksMicroformsPrint periodicalsStanding ordersPreservation/Binding
E-BooksMedia
Streaming/DVDsE-journalsE-resourcesE Management toolsDigitization
Capital Operating
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Work of library liaisons
Maintain web pages with their class contentTeachConsultationsMeet with faculty & assist in developing assignmentsStaff Reference Desk (and Chat, IM, Email ref)
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Collections work of the liaisons
Determine fund distribution within their roundtablesRecommend cancellations of all continuationsWeed collectionsPurchase books and expend budgetEvaluate databases
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All the measuring leads to decisions
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Serial change recommendations
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Outcomes
Engage the communityPublish the list
Put things on probationCancelDedupe Migrate to alternate formatsChange retentionAdd new titles
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Future trends and issues
Ever more granularity of what is countedMore integration of print and online usageInteroperability and migration options for data and systemsContinued standards development (SUSHI, CORE, etc.)
Continued development of tools and systems (Serials Solutions 360 Counter, Scholarly Stats, Thomson Reuters Journal Use Reports, etc.)
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Anything Worth Doing is Worth Overdoing
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A&Q
Some of the websites mentioned:UST Captivate tutorials on moving cost data from ILS to
ERMSMore information on NISO and COREJournalprices.comEingenfactor.orgDiane Carroll’s Serials Decision Database
QUESTIONS?
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More info
Baker, G. & Read, EJ.,(2008). Vendor –supplied usage data for electronic resources: a survey of academic libraries. Learned publishing vol. 21(1) 2008.Conyers, A, (2010) Usage statistics and online behaviour (2). The E-Resources Management Handbook – UKSG . http://www.uksg.org/serials/handbook.aspFeeney, M., Martin, J. Situ, P. (2010). We’ve Got the Data – Now What Do We Do With It? : Applying Quality Standards to Assess Information Resources. University of Arizona. Presented ER&L Austin, TX.Hulbert, LA . Predicting materials resource needs: a quantitative response to changing curricula. LibResearch, 5(3) Original site: http://ftp.curtin.edu.au/pub/libres/LIBRES5N3/HULBERT 1996. Current site: http://dhsws1.humanities.curtin.edu.au/libres/LIBRES5N3/CONTENTS.txtKara, B. & Koennecke, J. (2010). Comparison Complexities: The Challenges of Automating Cost- per-use Data Management. Cornell University. Presented ER&L Austin, TX.Roach, DL., (2010) Moving Mountains of Cost Data: Standards for ILS to ERM System to Vendors and Back Again. The Serials Librarian, 58 (1)198–203 Dani Roach Presenter, SHARON DYAS- CORREIA, Recorder
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Thank you!
Linda Hulbert [email protected] 651-962-5016Dani Roach [email protected] 651-962-5408
Many thanks to our graphics guru, Roxann R. Reisdorf!
Thanks to the Shoyen Collection (www.schoyencollection.com) for use of MS 3047, the stone multiplication table.
Thanks to the Early Office Museum (www.officemuseum.com/) for use of selected images.
Images are copyrighted and cannot be used without the permission of the copyright holder.