paperstats from pubget : a consortial usage stats service

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PaperStats from Pubget: A Consortial Usage Stats Service Rick Burke, SCELC ALCTS New Orleans, LA June 25, 2011

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PaperStats from Pubget : A Consortial Usage Stats Service. Rick Burke, SCELC ALCTS New Orleans, LA June 25, 2011. What is SCELC. The Statewide California Electronic Library Consortium - PowerPoint PPT Presentation

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Page 1: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

PaperStats from Pubget:A Consortial Usage Stats Service

Rick Burke, SCELCALCTS

New Orleans, LAJune 25, 2011

Page 2: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

What is SCELCThe Statewide California Electronic Library Consortium

We serve 111 private academic and nonprofit research libraries throughout the state, plus one in Nevada and three in Texas

Our primary activity has been negotiating offers for electronic resources and related services for our member libraries

We are an opt-in consortium, and we license over 2400 different products

80% of SCELC are schools <2000 FTE, so the small school market is key

Page 3: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Why Usage Stats?As a nonprofit entity, SCELC needs to provide

valuable services to its members that go beyond the core “buying club” activity

Given that the acquisition of e-resources is core to our mission, there was an evident need to help libraries track usage and analyze costs

Existing tools were either too expensive or inadequate to meet the needs of many libraries

Page 4: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Why PaperStats?Pubget, as a discovery tool, started its services by

automating full text article retrieval for end usersPubget extended its services to automate the

serials management and stats analysis process for libraries

This automated login process lends itself to retrieving usage stats quickly and efficiently

Add to this an analysis tool that breaks down the retrieved statistics into meaningful data

Page 5: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

SCELC and PaperStatsSCELC worked with Pubget to build on their

automated login technology to create a consortial portal

The consortial version uses institutional identifiers and a single master password to retrieve statistics for every SCELC member

Libraries can go to the portal to retrieve their statistics for the publishers currently covered by PaperStats

SCELC can obtain a consortial view of usage

Page 6: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Without PaperStatsLibrary staff have to gather statistics manually from

many different publishersEach publisher has

Different formats for data and delivery Different access methods Different availability dates

Cost statistics need to be calculated separatelyData needs to be cleaned up and aggregated manuallyThis can be a labor-intensive and cumbersome process

prone to data loss and errors

Page 7: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

AutomationPaperStats automates this process

We provide SCELC and COUNTER R3 passwordsPubget interacts with the publishers’ admin data

to retrieve the dataConsortial version includes automated import of

data from consortially-licensed resourcesPubget returns usage reports to the librarianAccess is fast and always available

No need to aggregate data and send it elsewhere for reporting and analysis

Page 8: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Consortial EnhancementsSCELC can track stats for each memberAutomated import of consortia statsCan retrieve data across a series of dates, e.g. a

period of monthsMember logins are pre-populatedThe library can access all COUNTER compliant

usage stats across their serials holdingsThe library can obtain a top level view of their most

and least-viewed publishers and titles

Page 9: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Negotiate More EffectivelyWith COUNTER-compliant costs-per-view in

hand, negotiate with publishers to realize more realistic cost models

Uncover previously hidden cost informationUtilize consortium-wide data to negotiate

optimal terms for the group as a wholeObtain a better understanding of our consortium

members’ usage patterns and collection needs

Page 10: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

SCELC BenefitsMember-level statistics for e-journal packages

are automatically collectedLibraries pay a very modest fee to access usage

data & analysis tools for their SCELC packagesLibraries have the option to license PaperStats

individually to add non-SCELC (locally-licensed) packages

Consortia-wide data readily available to the whole group for analysis and reporting

Page 11: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Publishers Covered by SCELC PaperStats

ACSCambridge Univ

PressEBSCOHostElsevier

ScienceDirectEmerald

GaleNature Publishing

GroupPalgrave MacmillanSpringer

(Metapress)Wiley

Page 12: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Forthcoming Coverage(By September 2011)

Atypon LinkBioOneHighwire PressH.W. Wilson

(now EBSCO)JSTOROCLC

FirstSearch

Oxford Univ Press

Project MuseProQuestSAGE

PublicationsUniv of Chicago

Press

Page 13: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Slicing and Dicing…ACS

Page 14: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Single Consortia-levelpassword

Automatic Harvestingfor ALL members

Page 15: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Breadth of package use

For whole consortium or individual members

Full list & Supporting Raw reports downloadable from same screen

Page 16: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Does this institution need the package?

What about this one?

Or this one?

Page 17: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Cost analysis (coming soon at the consortial level)

• Can I save money by dropping journals?– Cost analysis: Highest cost per view journals

• Can I save money by adding journals?– Cost analysis: PPV vs Subscription

• Is this bundle saving me money?– Cost analysis: Bundle vs Journal

Page 18: PaperStats  from  Pubget : A  Consortial  Usage Stats Service

Contact Information

Rick [email protected]

Jason [email protected]

http://scelc.org