Measuring%20the%20Impact%20of%20Networked%20Electronic%20Services:%20Developing%20Assessment%20Infrastructure%20for%20Libraries,%20State,%20and%20Other%20Types%20of%20Consortia - PowerPoint PPT Presentation

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Measuring%20the%20Impact%20of%20Networked%20Electronic%20Services:%20Developing%20Assessment%20Infrastructure%20for%20Libraries,%20State,%20and%20Other%20Types%20of%20Consortia

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Title: Measuring%20the%20Impact%20of%20Networked%20Electronic%20Services:%20Developing%20Assessment%20Infrastructure%20for%20Libraries,%20State,%20and%20Other%20Types%20of%20Consortia


1
Measuring the Impact of Networked Electronic
Services Developing Assessment Infrastructure
for Libraries, State, and Other Types of Consortia
  • Presented By
  • Terry Plum, Simmons GSLISBrinley Franklin,
    University of ConnecticutMartha Kyrillidou, ARL
    Gary Roebuck, ARL
  • Raynna Bowlby, ARL Consultant Simmons
    GSLISMaShana Davis, ARL Kristina Justh, ARL

Library Assessment Conference 2008 University of
Washington Seattle, WA
2
ARL New Measures Toolkit StatsQUAL
3
What is MINES?
  • Action Research
  • Historically rooted in indirect cost studies
  • Set of recommendations for research design
  • Set of recommendations for web survey
    presentation
  • Set of recommendations for information
    architecture in libraries
  • Plan for continual assessment of networked
    electronic resources
  • An opportunity to benchmark across libraries

4
What is MINES? (contd)
  • Measuring the Impact of Networked Electronic
    Services (MINES)
  • MINES is a research methodology that measures the
    usage of networked electronic resources of a
    library or consortium by a specific category of
    the patron population.
  • MINES is a Web-based survey form consisting of 5
    questions that is administered at the time of
    transaction.
  • MINES measures
  • User status and discipline/affiliation (who)
  • Physical location (where)
  • Primary purpose and reason of use (why)
  • MINES a part of Association of Research
    Libraries New Measures Assessment Initiatives
    (since 2003).
  • MINES is different from other electronic resource
    usage measures that quantify total usage (e.g.,
    Project COUNTER, E-Metrics) or measure how well a
    library makes electronic resources accessible
    (LibQUAL).

5
Early Data Collection Activities
Data was collected at seven main campus libraries
and seven academic health sciences libraries in
the U.S. between 2003 and 2005.
  • Academic Medical Libraries
  • U of Connecticut Health Center
  • U of North Carolina
  • U of Texas Medical Branch
  • U of Texas Southwestern
  • U of Utah
  • U of Virginia
  • Washington U
  • Main Universities
  • U of Colorado
  • U of Connecticut
  • U of North Carolina
  • Oregon State U
  • U of Utah
  • U of Virginia
  • Washington U

6
Early Data Collection Activities
  • More than 45,000 networked electronic services
    uses were surveyed.
  • At each library, the MINES survey was one
    component of a comprehensive cost analysis study
    that assigned all library costs to sponsored
    research, instruction/education/non-sponsored
    research, patient care, other sponsored
    activities and other activities.

7
Recent Data Collection Activities via ARL
  • Ontario Council of University Libraries (OCUL)
  • University of Iowa Libraries
  • University of Macedonia

8
Questions Addressed
  • How extensively do sponsored researchers use the
    new digital information environment?
  • Are researchers more likely to use networked
    electronic resources from inside or outside the
    library?
  • Are there differences in usage of electronic
    information based on the users location (e.g.,
    in the library on-campus, but not in the
    library or off-campus)?
  • What is a statistically valid methodology for
    capturing electronic services usage both in the
    library and remotely through web surveys?
  • Are particular network configurations more
    conducive to studies of digital libraries patron
    use?

9
Questions Addressed by OCUL Implementation
  • How extensively do sponsored researchers use
    OCULs Scholars Portal? How much usage is for
    non-funded research, instruction/education,
    student research papers, and course work?
  • Are researchers more likely to use the Scholars
    Portal from inside or outside the library? What
    about other classifications of users?
  • Are there differences in Scholars Portal based on
    the users location (e.g., in the library
    on-campus, but not in the library or
    off-campus)?
  • Could MINES, combined with usage counts, provide
    an infrastructure to make Scholars Portal usage
    studies routine, robust, and easily integrated
    into OCULs administrative decision-making
    process for assessing networked electronic
    resources?

10
MINES for Libraries Survey FormFive Questions
and a Comments Box
11
Methodological ConsiderationsExperience with
the MINES Survey
  • Terry Plum
  • Assistant Dean
  • Simmons GSLIS

Library Assessment Conference 2008 University of
Washington Seattle, WA
12
Issues with Web surveys
  • Research design
  • Coverage error
  • Unequal access to the Internet
  • Internet users are different than non-users
  • Response rate
  • Response representativeness
  • Random sampling and inference
  • Non-respondents
  • Data security

13
MINES Strategy
  • A representative sampling plan, including sample
    size, is determined at the outset. Typically,
    there are 48 hours of surveying over 12 months at
    a medical library and 24 hours a year at a main
    library.
  • Random moment/web-based surveys are employed at
    each site.
  • Participation is usually mandatory, negating
    non-respondent bias, and is based on actual use
    in real-time.
  • IRB waiver or approval
  • Libraries with database-to-web gateways or proxy
    re-writers offer a comprehensive networking
    solution for surveying all networked services
    users during survey periods.

14
MINES Strategy
  • Placement
  • Point of use
  • Not remembered, predicted or critical incident
  • Usage rather than user
  • What about multiple usages
  • Time out ?
  • Cookie or other mechanism with auto-population or
    more recently counting invisibly with a time out.
  • Distinguish patron association with libraries.
  • For example, medical library v. main library.
  • But what if the resources are purchased across
    campus for all. Then how to get patron
    affiliation?

15
Web Survey Design Guidelines
  • Web survey design guidelines that MINES followed
  • Presentation
  • Simple text for different browsers no graphics
  • Different browsers render web pages differently
  • Few questions per screen or simply few questions
  • Easy to navigate
  • Short and plain
  • No scrolling
  • Clear and encouraging error or warning messages
  • Every question answered in a similar way -
    consistent
  • Radio buttons, drop downs
  • ADA compliant
  • Introduction page or paragraph
  • Easy to read
  • Must see definitions of sponsored research.
  • Can present questions in response to answers
    for example if sponsored research was chosen,
    could present another survey

16
Quality Checks
  • Target population is the population frame
    surveyed the patrons who were supposed to be
    surveyed - except in libraries with outstanding
    open digital collections.
  • Check usage against IP. In this case, big
    numbers may not be good. May be seeing the
    survey too often.
  • Alter order of questions and answers,
    particularly sponsored and instruction.
  • Spot check IP against self-identified location
  • Spot check undergraduates choosing sponsored
    research measurement error
  • Check self-identified grant information against
    actual grants
  • Content validity discussed with librarians and
    pre-tested.
  • Turn-aways number who elected not to fill out
    the survey
  • Library information architecture -- Gateway v.
    HTML pages there is a substantial difference in
    results.

17
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18
Documenting the Purpose and Use of Electronic
ResourcesExperience with the MINES Survey
  • Brinley Franklin
  • Vice Provost for University Libraries
  • University of Connecticut

Library Assessment Conference 2008 University of
Washington Seattle, WA
19
It is useless to tell the acquisitions librarian
that half the monographs ordered will never be
used, unless we can specify which 50 to avoid
buying. (Galvin and Kent, 1977)
20
Reliance on Vendor Statistics
Vendor statistics, while more reliable than
in the past, are still maturing.
21
Measuring Digital Content Use
  • The most popular current method of measuring
    usage of electronic resources by libraries is not
    through web-based usage surveys, but through
    vendor supplied data of library patron usage or
    transaction usage.
  • Web-based usage surveys are increasingly relevant
    in the collection of usage data to make
    collection development and service decisions, to
    document evidence of usage by certain patron
    populations, and to collect and analyze
    performance outputs.
  • Brinley Franklin and Terry Plum, Successful Web
    Survey Methodologies for Measuring the Impact of
    Networked Electronic Services (MINES for
    Libraries) IFLA Journal 32 (1) March, 2006

22
Measuring Digital Content Use
  • A web-based transactional survey that collects
    data on users demographics and their purpose of
    use. It is administered in real time over the
    course of at least a year using a random moments
    sampling plan.
  • MINES for Libraries has been administered at 40
    North American universities in the last four
    years. More than 100,000 North American
    networked services users have been surveyed using
    a standard protocol.

23
Library User Survey
24
Library User Survey Patron Status
25
Library User Survey Affiliation
26
Library User Survey Location
27
Library User Survey Purpose
28
Sample Survey Data File Generated
  • Other UConnInstruction/Education/Departmental
    (Non-Funded) Researchhttp//newfirstsearch.oclc.or
    g/donerefererdbnameWorldCatautho100122319FSI
    P12365012/3/2004Off CampusUConn
    Faculty12.101.104.84
  • Family StudiesInstruction/Education/Departmental
    (Non-Funded) Researchhttp//www.jstor.org/cgi-bin/
    jstor/gensearch12374312/3/2004Off CampusUConn
    Undergraduate Student12.101.104.84Non-UConnOther
    Activitieshttp//homerweb.lib.uconn.edu/cgi-bin/Pw
    ebrecon.cgi?DBlocalPAGEFirst13084112/3/2004Of
    f CampusNon-UConn12.18.36.40
  • Non-UConnInstruction/Education/Departmental
    (Non-Funded) Researchhttp//magic.lib.uconn.edu/in
    dex_real.html13312912/3/2004Off
    CampusNon-UConn12.76.131.246
  • Non-UConnOther Activitieshttp//magic.lib.uconn.ed
    u/index_real.html12110612/3/2004Off
    CampusNon-UConn130.132.86.156Agriculture
    Natural ResourcesInstruction/Education/Departmenta
    l (Non-Funded) Researchhttp//magic.lib.uconn.edu/
    index_real.html12335712/3/2004
  • Off CampusNon-UConn131.128.89.54EducationInstructi
    on/Education/Departmental (Non-Funded)
    Researchhttp//www.euromonitor.com/womdas/125744
    12/3/2004
  • Off CampusNon-UConn134.241.135.70Non-UConnInstruct
    ion/Education/Departmental (Non-Funded)
    Researchhttp//homerweb.lib.uconn.edu/cgi-bin/Pweb
    recon.cgi?DBlocalPAGEFirst13285212/3/2004
  • Off CampusNon-UConn134.74.42.82Business
    AdministrationOther Activitieshttp//homerweb.lib.
    uconn.edu/cgi-bin/Pwebrecon.cgi?DBlocalPAGEFirs
    t12564612/3/2004In the LibraryUConn
    Faculty137.99.1.122
  • Liberal Arts SciencesOther Activitieshttp//www.
    siam.org/journals/simax/simax.htm12521712/3/2004
    On Campus - StorrsUConn Graduate
    Student137.99.1.122
  • EngineeringInstruction/Education/Departmental
    (Non-Funded) Researchhttp//homerweb.lib.uconn.edu
    /cgi-bin/Pwebrecon.cgi?DBlocalPAGEFirst120431
    12/3/2004On Campus - StorrsUConn Graduate
    Student137.99.1.219
  • Business AdministrationInstruction/Education/Depar
    tmental (Non-Funded) Researchhttp//proquest.umi.c
    om/pqdweb?RQT31812163312/3/2004On Campus -
    StorrsUConn Graduate Student137.99.100.105
  • Business AdministrationInstruction/Education/Depar
    tmental (Non-Funded) Researchhttp//www.jstor.org/
    journals/07322399.html12165212/3/2004On Campus
    - StorrsUConn Graduate Student137.99.100.105
  • Business AdministrationInstruction/Education/Depar
    tmental (Non-Funded) Researchhttp//homerweb.lib.u
    conn.edu/cgi-bin/Pwebrecon.cgi?DBlocalPAGEFirst
    12295312/3/2004On Campus - StorrsUConn Graduate
    Student137.99.100.175
  • Business AdministrationInstruction/Education/Depar
    tmental (Non-Funded) Researchhttp//homerweb.lib.u
    conn.edu/cgi-bin/Pwebrecon.cgi?DBlocalPAGEFirst
    12484112/3/2004On Campus - StorrsUConn Graduate
    Student137.99.100.175
  • Business AdministrationInstruction/Education/Depar
    tmental (Non-Funded) Researchhttp//proquest.umi.c
    om/login?COPTSU5UPTAmVkVSPTImREJTPTE3MjErMysxNkJD
    clientId4899612042312/3/2004On Campus -
    StorrsUConn Graduate Student137.99.100.175

29
MINES for Libraries
Demographics by Location of User U.S. Main
Libraries
On Campus, Not in the Libraryn 6,391
Inside the Libraryn 9,172
Off-Campus n 4,953
30
MINES for Libraries
Demographics by Location of User Ontario
Council of University Libraries
Off-Campus n 9,163
On Campus, Not in the Library n 7,090
Inside the Library n 4,047
31
Purpose of Use
Are users engaged in coursework, funded (or
unfunded) research, public service,
patient care, or other activities?
32
MINES for Libraries
Purpose of Use by Location U.S. Main Campus
Libraries 2003-05
In the Library n 9,733
On-Campus, Not in the Library n 9,460
66
Overall Use n 26,983
Off-Campus n 7,790
72 of sponsored research usage of electronic
resources occurred outside the library 83 took
place on campus.
33
MINES for Libraries
Purpose of Use OCUL Scholars Portal Users
In a sample of 20,300 electronic resources uses
at OCUL Libraries, there were four uses outside
the library for each use in the library.
34
Analysis
  • Web deliverables
  • Cross-tabulations in HTML for all institutional
    data
  • Interactive crosstabs for all institutional
  • Print deliverables
  • Summary tables
  • Final report

35
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36
Web Interface
37
OCUL Scholars Portal Usage Affiliation
38
OCUL Scholars Portal Usage User Status
39
OCUL Scholars Portal UsageLocation
40
OCUL Scholars Portal UsagePurpose of Use
41
Cross Tabulations Affiliation by Purpose of Use
42
Cross Tabulations User Status by Purpose of Use
43
Cross TabulationsLocation by Purpose of Use
44
OCUL Scholars Portal Usage Reason for Use
45
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Resources
  • Web interface
  • http//minesforlibraries.org
  • ARL New Measures and Assessment Initiatives
    MINES for Libraries
  • http//www.arl.org/stats/initiatives/mines/index.
    shtmlplace
  • Articles Presentations
  • http//www.arl.org/stats/initiatives/mines/minesr
    esources.shtml

49
Contact Us
  • ARL Staff
  • MaShana Davis, Technical Communications Liaison
  • Martha Kyrillidou, Director, ARL Statistics and
    Service Quality Programs
  • Gary Roebuck, Technical Operations Manager
  • Project Management
  • Brinley Franklin, Vice Provost for University
    Libraries, University of Connecticut Libraries
  • Toni Olshen, Business Librarian, Peter F.
    Bronfman Business Library, York University
  • Terry Plum, Assistant Dean for Technology and
    Director, Simmons Graduate School of Library and
    Information Sciences

50
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