Transcript Slide 1
NASIG 2010
INTEGRATING USAGE STATISTICS INTO COLLECTION DEVELOPMENT DECISIONS
Linda Hulbert and Dani Roach University of St. Thomas, St. Paul, MN
Linda Hulbert, Associate Director, Collection Management and Services Dani Roach, Head of Serials and Electronic Resource Acquisitions
Overview
Why it matters What data is available Gathering methods Compiling and analyzing Outcomes
Assessment? Let me count the ways…
LibQual SAILS Academic Library Survey Database evaluations Usage Peer comparisons
Types of assessment
Quantitative
Cost per use Funds (Disciplines) Historical trends ILL data Impact factors ROI
Qualitative
Reviews Availability Features User feedback Weighting Experience
Data, Data, What Data?
“…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)
Formula for creating ‘data’
Usage Statistics + Variables for Analysis + Methods for Analysis + Tools/Systems/Standards = Data for Analysis
How many ways to present the numbers?
Current print journal subscriptions cost per use Serials Solutions 360 Counter reports Database evaluation checklists Vendor provided reports Historical print usage
Does the right hand know what the left hand is counting?
Sources for usage data
Print Usually gathered at re-shelving Tick marks, spreadsheets, ILS item records Online Provided by vendor/third party Push or pull (systems and/or staff) Multiple levels reported Other ERMS statistics (e.g. click-through); web logs
Variables for analysis
Title Funds/Subjects Order status; format Cost; subscription period Other identifiers (ISSN, vendor, bound vs. current issues, etc)
What is cost?
Annual subscriptions Multiple payments Multiple funds One time archive fees Hosting fees Includes single title databases, e-journals, and now e-books
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)
What to include as use?
What about…
Counter and non Counter compliant Non-journal titles Zero-use titles Integrating use for all formats
How to present…
Non-Counter compliant data Leading articles, foreign language titles Combining data from variety of vendors Fiscal year data
Challenges of integrating data
For Costs
Extracting Exchanging Redundant entering Syncing silos Maintaining
For Use
Multiple sources Inaccurate, incomplete Unavailable Redundant data Syncing silos
How many systems do YOU use?
ILS (Innovative) ERMS (Serials Solutions) Serials database (Access) CSV, text files, Excel Vendor admin modules
Local tool: Serials Database
Microsoft Access database Tracks all active serial subscriptions; maintained Stores usage data Use to build use reports, subscription lists, database evaluation check lists, etc.
Built using info from ILS
Resources for annual serials review
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 statistics 4. Massage with Excel 5. Upload into Access Serials Database; create cost per use reports
PRINT subscriptions – Cost per Use Report
Example: ONLINE subscription cost per use 1.
48.
49.
61.
62.
Pull online use stats from vendors Upload into ERMS Pull costs from ILS Upload cost into ERMS Cost per use integrated
Connecting Silos
ERMS E-Resource Information (with fields for cost)
ILS Cost Data in Order Records
Output template of subscribed resources to an Access Table Merge and Upload cost file into ERMS Output selected cost fields to an Access Table
Use text files, Excel and Access to move data back and forth as needed.
JR1 ONLINE Cost Per Use Report
=(Q4*$Q$2)+(R4*$R$2)+(S4*$S$2)+(P4*$P$2)
The Fairness Factor
Capital vs. Operating
Capital/Insurable Books Standing Orders Periodicals Preservation Microfilm Items exceeding $2,000 Operating/Ephemeral Pencils Paper Computer lease Travel Dues
E Resources
Sharing the work for collection management Roundtables Business 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)
240 funds just for materials!
Capital
Books Microforms Print periodicals Standing orders Preservation/Binding
Operating
E-Books Media Streaming/DVDs E-journals E-resources E Management tools Digitization
Work of library liaisons
Maintain web pages with their class content Teach Consultations Meet with faculty & assist in developing assignments Staff Reference Desk (and Chat, IM, Email ref)
Collections work of the liaisons
Determine fund distribution within their roundtables Recommend cancellations of all continuations Weed collections Purchase books and expend budget Evaluate databases
All the measuring leads to decisions
Serial change recommendations
Outcomes
Engage the community Publish the list Put things on probation Cancel Dedupe Migrate to alternate formats Change retention Add new titles
Future trends and issues
Ever more granularity of what is counted More integration of print and online usage Interoperability and migration options for data and systems Continued standards development (SUSHI, CORE, etc.) Continued development of tools and systems (Serials Solutions 360 Counter, Scholarly Stats, Thomson Reuters Journal Use Reports, etc.)
Anything Worth Doing is Worth Overdoing
A&Q
Some of the websites mentioned: UST Captivate tutorials on moving cost data from ILS to ERMS More information on NISO and CORE Journalprices.com
Eingenfactor.org
Diane Carroll’s Serials Decision Database
QUESTIONS?
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.asp
Feeney, 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.txt
Kara, 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
Thank you!
Linda Hulbert Dani Roach [email protected] 651-962-5016 [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.