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Discovery and Delivery: Innovations and
             Challenges

           September 26, 2012


        Speakers: Lucy Harrison,
      Timothy Babbitt, David Bietila
Introducing the
          Open Discovery Initiative
           NISO Webinar: Discovery and Delivery:
                Innovations and Challenges


Lucy Harrison, Florida Virtual Campus, D2D Liaison

                                         September 26, 2012
                                                              2
Topics
• What are centralized indexes?
• What are their strengths and
  weaknesses?
• What is the NISO ODI initiative?
• How will it help improve the discovery
  landscape?



                                           3
Evolution of Library Search
• Card Catalogs
• Online Catalogs
• Federated search tools
• Next-generation library catalogs (discovery
  interfaces)
• Index-based discovery services



                                            4
Discovery Interfaces                   ILS Data



                                        Digital
   Search:            Local           Collections

                      Index
                                       ProQuest
    Search Results

                                      EBSCOhost




                     Federated
                      Search
                      Engine
                                         …
                                         MLA
                                      Bibliography



                                      ABC-CLIO


                              Real-time query
                              and responses
Index-based Discovery                                 ILS Data



                                                       Digital
   Search:                                           Collections




                                Consolidated Index
                                                     ProQuest



    Search Results                                   EBSCOhost



                                                        …
                                                        MLA
                                                     Bibliography



                                                     ABC-CLIO


       Harvesting and indexing performed in advance
Strengths of Index-based
Discovery
• Fast response time (vs. federated search)
• Structured metadata:
  – Improves search & retrieval
  – Faceted navigation
  – Improves integration of search results
• Indexing full-text of content amplifies
  access


                                              7
Issues with Index-based
Discovery
• Important to understand depth of indexing
  – Currency, dates covered, full-text or citation,
    quality of metadata
• Uneven participation diminishes impact
• Ecosystem dominated by private
  agreements
• Complexity and uncertainty poses barriers
  for participation
Need to Bring Order to Chaos
• Libraries need the ability to understand
  and evaluate tools, content, providers
• Information providers need the confidence
  that their content is being treated fairly
• Service providers need the ability to more
  efficiently integrate content



                                               9
Key Areas for Libraries
• Strategic investments (in subscriptions and
  discovery solutions)
• Expect comprehensive representation of
  resources in discovery indexes
• Need to be able to evaluate the depth and
  quality of these index-based discovery
  products
• Usage reporting
Collection Coverage Questions
 • How well does the index cover the body of scholarly
   content?
 • Why do some publishers not participate?
 • How can libraries understand the differences in coverage
   among competing services?
 • How are your library’s content packages represented by
   the discovery service?
 • Which resources are not represented in index?
 • Is content indexed at the citation or full-text level?
 • What is the quality of the metadata?
 • What are the restrictions for non-authenticated users?
Key Areas for Service Providers
• Encourage information providers to
  participate
• Lower thresholds of technical involvement
• Clarify the business rules associated with
  involvement
• Common industry standards and
  definitions
• Usage reporting
Key Areas for Information
Providers
• Discovery brings uncertainty
• Want to expose content widely (increase
  usage), but
• There are trust issues
  – With Access / Authentication
  – With ―Fair‖ Linking
• Private agreements
• Usage reporting
Need healthy ecosystem
among discovery service
 providers, libraries and
  information providers
OPEN DISCOVERY INITIATIVE
Promoting Transparency in Discovery




                                      15
ODI Pre-History
• June 26, 2011: Exploratory meeting @
  ALA Annual
• July 2011: NISO expresses interest
• Aug 7, 2011: Proposal drafted by
  participants submitted to NISO




                                         16
ODI Proposal
Define standards and/or best practices for
index-based discovery services
  – Evaluate the breadth and depth of content
  – Evaluate availability of content to different
    institutions and to different users
  – Streamline workflows
  – Define models for fair linking
  – Determine what usage statistics should be
    collected and disseminated

                                                    17
ODI Pre-History
• June 26, 2011: Exploratory meeting @
  ALA Annual
• July 2011: NISO expresses interest
• Aug 7, 2011: Proposal drafted by
  participants submitted to NISO
• Aug 2011: Proposal accepted by D2D
• Vote of approval by NISO membership
• Oct 2011: ODI launched
• Feb 2012: ODI Workgroup Formed         18
ODI Charge and Objectives
• Improve information services to end users
  as mediated through index-based
  discovery services
• Create an environment that broadens
  stakeholder participation and ensures
  confidence
• Foster development of best practices and
  effective means of assessment

                                          19
Specific Benefits
 Librarians
 – Can offer their users as wide a range of
   content as possible via their discovery
   service of choice
 – Can better evaluate discovery services
   to address their needs



                                          20
Specific Benefits
 Information providers
 – Have the confidence that the discovery
    service providers are handling their
    content in an appropriate manner
 – Are therefore encouraged to make
    available the widest range of content—
    in terms of breadth and depth – for
    indexing by the discovery service
    providers
                                             21
Specific Benefits
 Discovery service providers
 – Receive more standardized and efficient
   integration with the information
   providers through common industry
   definitions and communications




                                        22
Balance of Constituents
  Libraries
 Marshall Breeding, Co-Chair                      Michele Newberry, Florida Virtual Campus
 Jamene Brooks-Kieffer, Kansas State University   Sara Brownmiller, University of Oregon
 Laura Morse, Harvard University                  Lucy Harrison, Florida Virtual Campus (D2D
 Ken Varnum, University of Michigan               liaison/observer)



  Information Providers
 Lettie Conrad, SAGE Publications                 Linda Beebe, American Psychological Assoc
 Roger Schonfeld, ITHAKA/JSTOR/Portico            Aaron Wood, Alexander Street Press
 Jeff Lang, Thomson Reuters                       Peter Noerr, MuseGlobal



  Service Providers
 Jenny Walker, Ex Libris Group (Co-Chair)         David Lindahl, University of Rochester (XC)
 John Law, Serials Solutions                      Jeff Penka, OCLC (D2D liaison/observer)
 Michael Gorrell, EBSCO Information Services

                                                                                            23
Organization
• Reports in NISO through Document to
  Delivery topic committee (D2D)
• Staff support from NISO (Nettie Lagace)
• Co-Chairs
  – Jenny Walker (Ex Libris)
  – Marshall Breeding (Library Consultant)
• D2D Observers:
  – Jeff Penka (OCLC), Lucy Harrison (FLVC)

                                              24
ODI Project Goals
1. Identify, possibly through surveys or other
   questionnaires, the needs and requirements of
   the three stakeholder groups in this area of
   work
• Created subgroups for information gathering:
  –   Level of Indexing
  –   Library Rights
  –   Technical formats
  –   Usage Statistics
  –   Fair Linking

                                               25
ODI Project Goals
1. Identify, possibly through surveys or other
   questionnaires, the needs and requirements of
   the three stakeholder groups in this area of
   work
• Created subgroups for information gathering
• Conducted interviews with stakeholders
• Created survey with input from all sub groups
• Survey is currently live (closes October 4)


                                               26
https://www.surveymonkey.com/s/QBXZXSB

                                         27
ODI Project Goals
1. Identify, possibly through surveys or other
   questionnaires, the needs and requirements of
   the three stakeholder groups in this area of
   work
• Created subgroups for information gathering
• Conducted interviews with stakeholders
• Created survey with input from all sub groups
• Survey is currently live (closes October 4)
• Analyze results as input to Goal 2

                                               28
ODI Project Goals:

2. Create recommendations and tools to
   streamline the process by which information
   providers, discovery service providers, and
   librarians work together to better serve libraries
   and their users
ODI Project Goals:

3. Provide effective means for librarians to assess
   the level of participation by information
   providers in discovery services, to evaluate the
   breadth and depth of content indexed and the
   degree to which this content is made available
   to the user
Specific deliverables
• Standard Vocabulary
• NISO Recommended Practice:
  – Data format & transfer
  – Communicating content rights
  – Levels of indexing, content availability
  – Linking to content
  – Usage statistics
  – Evaluate compliance
• Inform and Promote Adoption
                                               31
Timeline

Milestone                                  Target Date     Status

Appointment of working group               December 2011

Approval of charge and initial work plan   March 2012

Agreement on process and tools             June 2012

Survey completed                           Oct 4, 2012

Completion of information gathering        October 2012

Completion of initial draft                January 2013

Completion of final draft                  May 2013
                                                              32
Connect with ODI
• ODI Project website:
  http://www.niso.org/workrooms/odi/

• Interest group mailing list:
  http://www.niso.org/lists/opendiscovery/

• Email ODI:
  odi@niso.org




                                             33
Seeing Discovery Through User Colored Glasses
NISO Webinar: Discovery and Delivery: Innovations and Challenges
      Timothy Babbitt, Senior Vice President, Platform Management, ProQuest
Understanding What Is Valuable to Users
Foundation of Librarianship
  S.R. Ranganathan’s The Five Laws of Library
  Science (Madras India: Madras Library Association, 1931)
  1.   Books are for use.
  2.   Every reader his [or her] book.
  3.   Every book its reader.
  4.   Save the time of the reader.
  5.   The library is a growing organism.




        Even at a time when the emphasis was entirely on
       physical media the focus was on the individual goals
            and needs each type of user (the reader)
The Five Laws Updated
  Ranganathan                             Updated Laws
  1.   Books are for use.                 1.   Information in all of its forms is for
  2.   Every reader his [or her] book.         use.
                                          2.   Every researcher their
  3.   Every book its reader.
                                               information.
  4.   Save the time of the reader.       3.   Every medium and delivery
  5.   The library is a growing                platform its user.
       organism.                          4.   Enable efficient discovery by the
                                               user.
                                          5.   The library is part of an evolving
                                               research ecosystem.
   The proliferation of web based information tools allows us to track users and
 their behavior with increasing precision but understanding the unique needs and
  behaviors of different researchers requires deep analysis and interpretation of a
      variety of data – traditional usage data does not tell the whole story.
How do we measure value in the evolving
research landscape?
 Traditional Model
  Usage data to measure value (searches and retrievals) –
    more usage = more value

 Growing Trend
  Web based analytics – behavioral and attitudinal dimensions
   segmented by types of users

 Key Question
  How can we combine both approaches and what can they provide
   that traditional usage data cannot?
     Usage Data = what they did
     Other Analytics = what they were trying to do; did they succeed; what
      was the context; and who was doing it?
Value Differs by User
Who is doing the research matters
 Librarians
    Making their patrons successful
    Promoting services of library to students and faculty with
     confidence
    Delivering services that are convenient for their users

 Faculty
    Extending their influence and reach in their discipline
     through published research
    Efficiently directing students to materials that meet
     learning objectives
    Obtaining research grants
 Students
    Completing coursework in accordance with faculty
     directives
    Remaining in compliance with source attribution policies
    Accessing information conveniently
Conventional Wisdom Might Tell Us

  High use = high value
  High satisfaction = high value
  Use (search and retrievals) is homogenous

 Including Attitudinal and Behavioral dimensions to
 traditional usage data allows us to challenge many long
 held assumptions
Three Dimensions of Analysis
                                                 Focus of Analysis:
                                                 The discovery and
                                                 consumption of
                                                 documents (COUNTER
                                   Usage         Reporting e.g. Searches
                                                 and Retrieves) etc.




Focus of Analysis:                                        Focus of Analysis:
                                                          What is the user’s
What is the user     Attitudinal           Behavioral     context?
satisfaction?                                             (Page Views per
                                                          visit, Time on Site,
                                                          and Clickstream
                                                          etc.)
Three Dimensions of Analysis
                                      Focus of Analysis:
                                      The discovery and
                                      consumption of
                                      documents (COUNTER
                        Usage         Reporting e.g. Searches
                                      and Retrieves) etc.




          Attitudinal           Behavioral
Usage in the new age of discovery

 A case study

 Earlier this year, a library contacted us about a large
 increase in search usage in one of their databases:


       Month     11-Jan   11-Feb    11-Mar     11-Apr …
  Searches Run      50      250        43        199


       Month     12-Jan   12-Feb    12-Mar     12-Apr …
  Searches Run     265      616       1176       847
Web scale discovery and workflow




                By default, the user runs an all database search
             (thus showing as a ―hit‖ against all DB’s in the library’s subscription.)




In this scenario, the user starts their search for ―space tourism‖ via a discovery service such
 as Summon. Finding a document they like, they click through to the ProQuest platform and
 land at the document level. Then decide to run another search, which ―hits‖ all databases.
Usage in the new age of discovery

    The cause? Heavily utilization of a new web scale discovery
     service.

    Users now used our website differently than users who started
     at the library ―Databases A-Z‖ page. The change in how their
     users were coming to our site led to a change in usage.

    Usage data showed the effect of the change of their patrons’
     research environment. Determining the cause required looking
     beyond the usage data.

 For more details see the white paper ―Usage in the New Age of Discovery‖
Three Dimensions of Analysis



                        Usage



                                             Focus of Analysis:
                                             What is the user’s
          Attitudinal           Behavioral   context?
                                             (Page Views per
                                             visit, Time on Site,
                                             and Clickstream
                                             etc.)
Behavioral Analysis:
Precise Measure of Visits
Behavioral Analytics
Pages Viewed/ Visits
Three Dimensions of Analysis



                                   Usage




Focus of Analysis:
What is the user     Attitudinal           Behavioral
satisfaction?
Attitudinal – Satisfaction Comparison

 Survey Methodology
  Over 19,500 Surveys
  Data from November 2011 through September 2012
  Continuous monitoring
  Predictive modeling

 Librarians          Faculty           Students
Satisfaction Comparison: Role
Satisfaction Comparison: Role
Number of Respondents
Attitudinal Analysis:
Student Satisfaction Trend-line
Student Satisfaction: By Week
Satisfaction Comparison: Primary Purpose
Satisfaction Comparison: Primary Purpose
Number of Respondents
Attitudinal Analysis
Satisfaction Comparison: School Type
Attitudinal Analysis
Satisfaction Comparison: School Type
Cross Tab:
Primary Purpose and School Type
Data from November 8, 2011 through August 12, 2012
“Deeper Dive” with Segment Analysis:
Data: Nov. 8, 2011 through Aug 7, 2012
Seeing Value from a User
Perspective
  We need the triangulation of
     Usage data
     Behavioral data
     Attitudinal data
  Drive understanding of
     What did the users do?
     What was the context of use?
     What were they trying to do and were they successful?
  Important because the research ecosystem is
   changing
     i.e. Web scale discovery
Toward understanding what is
valuable to users

  Updated Laws
  1. Information in all of its forms is for use.
  2. Every researcher their information.
  3. Every medium and delivery platform its
     user.
  4. Enable efficient discovery by the user.
  5. The library is part of an evolving
     research ecosystem.
Next steps

  Complete integration and analysis of
     Usage data
     Behavioral data
     Attitudinal data
  Give libraries a deep understanding of value from
   user segments
  Next stop…content and search analysis!
Collecting Patron Perspectives on
Discovery Tools

NISO Webinar
Discovery and Delivery: Innovations and
Challenges
September 26, 2012


David Bietila
Web Program Director
The University of Chicago Library
Data Sources


                Finding
                  Aids
    Databases                 Digital
    & Indexes               Collections



                Discovery
 Catalog           Tool
                                 Web Pages
Assessment Questions

 Product Characteristics
    Technical
    Functional
    Interface
 Relevance to Users
    Define use case
        Novice users of databases and electronic resources who need to
         find articles on a topic.
    Assess product’s applicability to this use case
1. User Comments
Topic              User attitudes toward the product, and specific aspects valued by
                   users.

Method             Posted link to a comment form in the header.
                   Set up an info table for three days.
                   Required minimal effort to collect data.
Sample Questions   What type of resource were you looking for with the Articles Plus?
                   Please share any positive or negative comments about your
                   experience.
Results            Unprecedented proportion of positive comments.
                   Users valued the speed of this search, and the ability to search
                   both books and articles in one place.




                                                  Functional & Interface Assessment
Resource sought   Journal article

Successful?       Yes

Affiliation       Graduate or Professional School Student

Comment           This was a quick search and gave me exactly what I needed.



Resource sought   Academic journal articles

Successful?       No

Affiliation       Graduate or Professional School Student
                  Record included books, needed a way to filter this out
Comment
                  results from Time magazine, not what I was looking for at all


                  Both books and articles on certain topics (ones related to philosophy, psychology and
Resource sought
                  literature).
Successful?       Partial

Affiliation       Graduate or Professional School Student
                  It's wonderful to have ONE place where you can search for both articles and books! However, it
                  seems like more books should show up because some books relevant to my search showed up
Comment
                  in lens but not in Articles Plus. If you don't choose this search tool, please do adopt some search
                  tool that allows comprehensive searching of both books and articles!
2. Usage Statistics
Topic          Usage relative to major databases


Method         Examined data presented in the discovery tool’s admin interface.
               Compared usage with that of high traffic databases (Web of
               Science, JSTOR, Academic Search Premier).
Results        Observed increasing usage, reaching parity in the initial year with
               Academic Search Premier.
               Verified that users were finding and using the tool.




                                                             Interface Assessment
Searches per Month - Articles Plus and Major Databases

50000

45000

40000
                                                                 EDS Foundation Index
35000
                                                                 (ArticlesPlus)
30000                                                            Web of Science
25000
                                                                 JSTOR
20000

15000
                                                                 Academic Search
10000                                                            Premier

 5000

   0
3. Usability Testing
Topic              Clarity of search interface, including functional elements and
                   labels.
                   User ability to complete article discovery tasks.
Method             Assigned representative article searching tasks.
                   Recording screen activity and spoken comments for analysis.

Sample Questions   Can you locate full text of the following article? Mary L.
                   Dudziak, “Desegregation as a Cold War Imperative,” 41 Stanford
                   Law Review 61 (1988)

                   You are working to prepare a summary of developments in the
                   field of astronomy. Can you locate five articles on astronomy that
                   were published in Nature in 2010?




                                                  Functional & Interface Assessment
Task
        Participant   Participant
Session
          Status      Department
                                      1   2   3   4   5          6   7   8   9   10

  1      Graduate     Public Policy                                  X   

  2      Graduate        CMES         ~      X                X      X   X   

  3     Undergrad     Undeclared                  ~             X      X   

  4     Undergrad       Anthro                                 ~         

  5      Graduate        MAPH                                           

  6     Undergrad       Physics       ~                      ~            

  7     Undergrad       English                             ~         X   ~

  8      Graduate       MAPSS         ~                         ~         ~
3. Usability Testing

 Results
  •   Cut or relabeled certain facets
  •   Made heavily used features more prominent.
  •   Removed unused or confusing features
  •   Determined collections to be retained or removed from coverage.




                                           Functional & Interface Assessment
Iterative Evaluation



    Refine
                       Evaluate
     Use
                         Tool
     Case
Other Use Cases

 Experienced researchers
   Searching interdisciplinary topics
   Searching outside their primary area
   Searching within their primary area
4. Subject Assessments
Topic         Applicability of the discovery tool for use by advanced researchers
              in disciplines with a variety of requirements.

Method        Enlisted bibliographers and subject specialists as proxies for
              different user constituencies.

              Created an evaluation rubric to ensure comparable results across
              over 40 disciplines assessed.
Results       Determined which disciplines would be best served by the tool.
              Identified strength of coverage in numerous disciplines.




                                                           Functional Assessment
Subject Evaluation Form
Compared to     Compared to
Subjects – Social
                                  First 25 Results   Core Database   JSTOR/ Google
Sciences                                             Results         Scholar Results


Anthropology/Geography/Maps              ~                 ~               ~
Gender Studies                           ~                 ~               -
History                                  +                +                +
International Political Economy          ~                 -               ~
Psychology                               +                 -               ~
Sexuality Studies                        +                 +               +
Outcomes & Future Assessment

 Recommendation to purchase
 Improvements
    Local configuration
    Enhancement requests
 Marketing & Communication
 Benefit of Iterative Assessment
 Future assessment
    Applicability of new coverage
    Revisiting usability
    Overlap with other search tools
THANK YOU
           Thank you for joining us today.
Please take a moment to fill out the brief online survey.

         We look forward to hearing from you!

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NISO Webinar: Discovery & Delivery: Innovations & Challenges

  • 1. [insert web address for NISO webinar page] Discovery and Delivery: Innovations and Challenges September 26, 2012 Speakers: Lucy Harrison, Timothy Babbitt, David Bietila
  • 2. Introducing the Open Discovery Initiative NISO Webinar: Discovery and Delivery: Innovations and Challenges Lucy Harrison, Florida Virtual Campus, D2D Liaison September 26, 2012 2
  • 3. Topics • What are centralized indexes? • What are their strengths and weaknesses? • What is the NISO ODI initiative? • How will it help improve the discovery landscape? 3
  • 4. Evolution of Library Search • Card Catalogs • Online Catalogs • Federated search tools • Next-generation library catalogs (discovery interfaces) • Index-based discovery services 4
  • 5. Discovery Interfaces ILS Data Digital Search: Local Collections Index ProQuest Search Results EBSCOhost Federated Search Engine … MLA Bibliography ABC-CLIO Real-time query and responses
  • 6. Index-based Discovery ILS Data Digital Search: Collections Consolidated Index ProQuest Search Results EBSCOhost … MLA Bibliography ABC-CLIO Harvesting and indexing performed in advance
  • 7. Strengths of Index-based Discovery • Fast response time (vs. federated search) • Structured metadata: – Improves search & retrieval – Faceted navigation – Improves integration of search results • Indexing full-text of content amplifies access 7
  • 8. Issues with Index-based Discovery • Important to understand depth of indexing – Currency, dates covered, full-text or citation, quality of metadata • Uneven participation diminishes impact • Ecosystem dominated by private agreements • Complexity and uncertainty poses barriers for participation
  • 9. Need to Bring Order to Chaos • Libraries need the ability to understand and evaluate tools, content, providers • Information providers need the confidence that their content is being treated fairly • Service providers need the ability to more efficiently integrate content 9
  • 10. Key Areas for Libraries • Strategic investments (in subscriptions and discovery solutions) • Expect comprehensive representation of resources in discovery indexes • Need to be able to evaluate the depth and quality of these index-based discovery products • Usage reporting
  • 11. Collection Coverage Questions • How well does the index cover the body of scholarly content? • Why do some publishers not participate? • How can libraries understand the differences in coverage among competing services? • How are your library’s content packages represented by the discovery service? • Which resources are not represented in index? • Is content indexed at the citation or full-text level? • What is the quality of the metadata? • What are the restrictions for non-authenticated users?
  • 12. Key Areas for Service Providers • Encourage information providers to participate • Lower thresholds of technical involvement • Clarify the business rules associated with involvement • Common industry standards and definitions • Usage reporting
  • 13. Key Areas for Information Providers • Discovery brings uncertainty • Want to expose content widely (increase usage), but • There are trust issues – With Access / Authentication – With ―Fair‖ Linking • Private agreements • Usage reporting
  • 14. Need healthy ecosystem among discovery service providers, libraries and information providers
  • 15. OPEN DISCOVERY INITIATIVE Promoting Transparency in Discovery 15
  • 16. ODI Pre-History • June 26, 2011: Exploratory meeting @ ALA Annual • July 2011: NISO expresses interest • Aug 7, 2011: Proposal drafted by participants submitted to NISO 16
  • 17. ODI Proposal Define standards and/or best practices for index-based discovery services – Evaluate the breadth and depth of content – Evaluate availability of content to different institutions and to different users – Streamline workflows – Define models for fair linking – Determine what usage statistics should be collected and disseminated 17
  • 18. ODI Pre-History • June 26, 2011: Exploratory meeting @ ALA Annual • July 2011: NISO expresses interest • Aug 7, 2011: Proposal drafted by participants submitted to NISO • Aug 2011: Proposal accepted by D2D • Vote of approval by NISO membership • Oct 2011: ODI launched • Feb 2012: ODI Workgroup Formed 18
  • 19. ODI Charge and Objectives • Improve information services to end users as mediated through index-based discovery services • Create an environment that broadens stakeholder participation and ensures confidence • Foster development of best practices and effective means of assessment 19
  • 20. Specific Benefits Librarians – Can offer their users as wide a range of content as possible via their discovery service of choice – Can better evaluate discovery services to address their needs 20
  • 21. Specific Benefits Information providers – Have the confidence that the discovery service providers are handling their content in an appropriate manner – Are therefore encouraged to make available the widest range of content— in terms of breadth and depth – for indexing by the discovery service providers 21
  • 22. Specific Benefits Discovery service providers – Receive more standardized and efficient integration with the information providers through common industry definitions and communications 22
  • 23. Balance of Constituents Libraries Marshall Breeding, Co-Chair Michele Newberry, Florida Virtual Campus Jamene Brooks-Kieffer, Kansas State University Sara Brownmiller, University of Oregon Laura Morse, Harvard University Lucy Harrison, Florida Virtual Campus (D2D Ken Varnum, University of Michigan liaison/observer) Information Providers Lettie Conrad, SAGE Publications Linda Beebe, American Psychological Assoc Roger Schonfeld, ITHAKA/JSTOR/Portico Aaron Wood, Alexander Street Press Jeff Lang, Thomson Reuters Peter Noerr, MuseGlobal Service Providers Jenny Walker, Ex Libris Group (Co-Chair) David Lindahl, University of Rochester (XC) John Law, Serials Solutions Jeff Penka, OCLC (D2D liaison/observer) Michael Gorrell, EBSCO Information Services 23
  • 24. Organization • Reports in NISO through Document to Delivery topic committee (D2D) • Staff support from NISO (Nettie Lagace) • Co-Chairs – Jenny Walker (Ex Libris) – Marshall Breeding (Library Consultant) • D2D Observers: – Jeff Penka (OCLC), Lucy Harrison (FLVC) 24
  • 25. ODI Project Goals 1. Identify, possibly through surveys or other questionnaires, the needs and requirements of the three stakeholder groups in this area of work • Created subgroups for information gathering: – Level of Indexing – Library Rights – Technical formats – Usage Statistics – Fair Linking 25
  • 26. ODI Project Goals 1. Identify, possibly through surveys or other questionnaires, the needs and requirements of the three stakeholder groups in this area of work • Created subgroups for information gathering • Conducted interviews with stakeholders • Created survey with input from all sub groups • Survey is currently live (closes October 4) 26
  • 28. ODI Project Goals 1. Identify, possibly through surveys or other questionnaires, the needs and requirements of the three stakeholder groups in this area of work • Created subgroups for information gathering • Conducted interviews with stakeholders • Created survey with input from all sub groups • Survey is currently live (closes October 4) • Analyze results as input to Goal 2 28
  • 29. ODI Project Goals: 2. Create recommendations and tools to streamline the process by which information providers, discovery service providers, and librarians work together to better serve libraries and their users
  • 30. ODI Project Goals: 3. Provide effective means for librarians to assess the level of participation by information providers in discovery services, to evaluate the breadth and depth of content indexed and the degree to which this content is made available to the user
  • 31. Specific deliverables • Standard Vocabulary • NISO Recommended Practice: – Data format & transfer – Communicating content rights – Levels of indexing, content availability – Linking to content – Usage statistics – Evaluate compliance • Inform and Promote Adoption 31
  • 32. Timeline Milestone Target Date Status Appointment of working group December 2011 Approval of charge and initial work plan March 2012 Agreement on process and tools June 2012 Survey completed Oct 4, 2012 Completion of information gathering October 2012 Completion of initial draft January 2013 Completion of final draft May 2013 32
  • 33. Connect with ODI • ODI Project website: http://www.niso.org/workrooms/odi/ • Interest group mailing list: http://www.niso.org/lists/opendiscovery/ • Email ODI: odi@niso.org 33
  • 34. Seeing Discovery Through User Colored Glasses NISO Webinar: Discovery and Delivery: Innovations and Challenges Timothy Babbitt, Senior Vice President, Platform Management, ProQuest
  • 35. Understanding What Is Valuable to Users Foundation of Librarianship S.R. Ranganathan’s The Five Laws of Library Science (Madras India: Madras Library Association, 1931) 1. Books are for use. 2. Every reader his [or her] book. 3. Every book its reader. 4. Save the time of the reader. 5. The library is a growing organism. Even at a time when the emphasis was entirely on physical media the focus was on the individual goals and needs each type of user (the reader)
  • 36. The Five Laws Updated Ranganathan Updated Laws 1. Books are for use. 1. Information in all of its forms is for 2. Every reader his [or her] book. use. 2. Every researcher their 3. Every book its reader. information. 4. Save the time of the reader. 3. Every medium and delivery 5. The library is a growing platform its user. organism. 4. Enable efficient discovery by the user. 5. The library is part of an evolving research ecosystem. The proliferation of web based information tools allows us to track users and their behavior with increasing precision but understanding the unique needs and behaviors of different researchers requires deep analysis and interpretation of a variety of data – traditional usage data does not tell the whole story.
  • 37. How do we measure value in the evolving research landscape? Traditional Model  Usage data to measure value (searches and retrievals) – more usage = more value Growing Trend  Web based analytics – behavioral and attitudinal dimensions segmented by types of users Key Question  How can we combine both approaches and what can they provide that traditional usage data cannot?  Usage Data = what they did  Other Analytics = what they were trying to do; did they succeed; what was the context; and who was doing it?
  • 38. Value Differs by User Who is doing the research matters Librarians  Making their patrons successful  Promoting services of library to students and faculty with confidence  Delivering services that are convenient for their users Faculty  Extending their influence and reach in their discipline through published research  Efficiently directing students to materials that meet learning objectives  Obtaining research grants Students  Completing coursework in accordance with faculty directives  Remaining in compliance with source attribution policies  Accessing information conveniently
  • 39. Conventional Wisdom Might Tell Us  High use = high value  High satisfaction = high value  Use (search and retrievals) is homogenous Including Attitudinal and Behavioral dimensions to traditional usage data allows us to challenge many long held assumptions
  • 40. Three Dimensions of Analysis Focus of Analysis: The discovery and consumption of documents (COUNTER Usage Reporting e.g. Searches and Retrieves) etc. Focus of Analysis: Focus of Analysis: What is the user’s What is the user Attitudinal Behavioral context? satisfaction? (Page Views per visit, Time on Site, and Clickstream etc.)
  • 41. Three Dimensions of Analysis Focus of Analysis: The discovery and consumption of documents (COUNTER Usage Reporting e.g. Searches and Retrieves) etc. Attitudinal Behavioral
  • 42. Usage in the new age of discovery A case study Earlier this year, a library contacted us about a large increase in search usage in one of their databases: Month 11-Jan 11-Feb 11-Mar 11-Apr … Searches Run 50 250 43 199 Month 12-Jan 12-Feb 12-Mar 12-Apr … Searches Run 265 616 1176 847
  • 43. Web scale discovery and workflow By default, the user runs an all database search (thus showing as a ―hit‖ against all DB’s in the library’s subscription.) In this scenario, the user starts their search for ―space tourism‖ via a discovery service such as Summon. Finding a document they like, they click through to the ProQuest platform and land at the document level. Then decide to run another search, which ―hits‖ all databases.
  • 44. Usage in the new age of discovery  The cause? Heavily utilization of a new web scale discovery service.  Users now used our website differently than users who started at the library ―Databases A-Z‖ page. The change in how their users were coming to our site led to a change in usage.  Usage data showed the effect of the change of their patrons’ research environment. Determining the cause required looking beyond the usage data. For more details see the white paper ―Usage in the New Age of Discovery‖
  • 45. Three Dimensions of Analysis Usage Focus of Analysis: What is the user’s Attitudinal Behavioral context? (Page Views per visit, Time on Site, and Clickstream etc.)
  • 48. Three Dimensions of Analysis Usage Focus of Analysis: What is the user Attitudinal Behavioral satisfaction?
  • 49. Attitudinal – Satisfaction Comparison Survey Methodology  Over 19,500 Surveys  Data from November 2011 through September 2012  Continuous monitoring  Predictive modeling Librarians Faculty Students
  • 55. Satisfaction Comparison: Primary Purpose Number of Respondents
  • 58. Cross Tab: Primary Purpose and School Type Data from November 8, 2011 through August 12, 2012
  • 59. “Deeper Dive” with Segment Analysis: Data: Nov. 8, 2011 through Aug 7, 2012
  • 60. Seeing Value from a User Perspective  We need the triangulation of  Usage data  Behavioral data  Attitudinal data  Drive understanding of  What did the users do?  What was the context of use?  What were they trying to do and were they successful?  Important because the research ecosystem is changing  i.e. Web scale discovery
  • 61. Toward understanding what is valuable to users Updated Laws 1. Information in all of its forms is for use. 2. Every researcher their information. 3. Every medium and delivery platform its user. 4. Enable efficient discovery by the user. 5. The library is part of an evolving research ecosystem.
  • 62. Next steps  Complete integration and analysis of  Usage data  Behavioral data  Attitudinal data  Give libraries a deep understanding of value from user segments  Next stop…content and search analysis!
  • 63. Collecting Patron Perspectives on Discovery Tools NISO Webinar Discovery and Delivery: Innovations and Challenges September 26, 2012 David Bietila Web Program Director The University of Chicago Library
  • 64.
  • 65. Data Sources Finding Aids Databases Digital & Indexes Collections Discovery Catalog Tool Web Pages
  • 66.
  • 67.
  • 68.
  • 69. Assessment Questions  Product Characteristics  Technical  Functional  Interface  Relevance to Users  Define use case  Novice users of databases and electronic resources who need to find articles on a topic.  Assess product’s applicability to this use case
  • 70. 1. User Comments Topic User attitudes toward the product, and specific aspects valued by users. Method Posted link to a comment form in the header. Set up an info table for three days. Required minimal effort to collect data. Sample Questions What type of resource were you looking for with the Articles Plus? Please share any positive or negative comments about your experience. Results Unprecedented proportion of positive comments. Users valued the speed of this search, and the ability to search both books and articles in one place. Functional & Interface Assessment
  • 71. Resource sought Journal article Successful? Yes Affiliation Graduate or Professional School Student Comment This was a quick search and gave me exactly what I needed. Resource sought Academic journal articles Successful? No Affiliation Graduate or Professional School Student Record included books, needed a way to filter this out Comment results from Time magazine, not what I was looking for at all Both books and articles on certain topics (ones related to philosophy, psychology and Resource sought literature). Successful? Partial Affiliation Graduate or Professional School Student It's wonderful to have ONE place where you can search for both articles and books! However, it seems like more books should show up because some books relevant to my search showed up Comment in lens but not in Articles Plus. If you don't choose this search tool, please do adopt some search tool that allows comprehensive searching of both books and articles!
  • 72.
  • 73. 2. Usage Statistics Topic Usage relative to major databases Method Examined data presented in the discovery tool’s admin interface. Compared usage with that of high traffic databases (Web of Science, JSTOR, Academic Search Premier). Results Observed increasing usage, reaching parity in the initial year with Academic Search Premier. Verified that users were finding and using the tool. Interface Assessment
  • 74. Searches per Month - Articles Plus and Major Databases 50000 45000 40000 EDS Foundation Index 35000 (ArticlesPlus) 30000 Web of Science 25000 JSTOR 20000 15000 Academic Search 10000 Premier 5000 0
  • 75. 3. Usability Testing Topic Clarity of search interface, including functional elements and labels. User ability to complete article discovery tasks. Method Assigned representative article searching tasks. Recording screen activity and spoken comments for analysis. Sample Questions Can you locate full text of the following article? Mary L. Dudziak, “Desegregation as a Cold War Imperative,” 41 Stanford Law Review 61 (1988) You are working to prepare a summary of developments in the field of astronomy. Can you locate five articles on astronomy that were published in Nature in 2010? Functional & Interface Assessment
  • 76. Task Participant Participant Session Status Department 1 2 3 4 5 6 7 8 9 10 1 Graduate Public Policy         X  2 Graduate CMES ~  X   X  X X  3 Undergrad Undeclared     ~  X  X  4 Undergrad Anthro       ~    5 Graduate MAPH           6 Undergrad Physics ~     ~     7 Undergrad English      ~   X ~ 8 Graduate MAPSS ~      ~   ~
  • 77. 3. Usability Testing  Results • Cut or relabeled certain facets • Made heavily used features more prominent. • Removed unused or confusing features • Determined collections to be retained or removed from coverage. Functional & Interface Assessment
  • 78.
  • 79.
  • 80.
  • 81. Iterative Evaluation Refine Evaluate Use Tool Case
  • 82. Other Use Cases  Experienced researchers  Searching interdisciplinary topics  Searching outside their primary area  Searching within their primary area
  • 83. 4. Subject Assessments Topic Applicability of the discovery tool for use by advanced researchers in disciplines with a variety of requirements. Method Enlisted bibliographers and subject specialists as proxies for different user constituencies. Created an evaluation rubric to ensure comparable results across over 40 disciplines assessed. Results Determined which disciplines would be best served by the tool. Identified strength of coverage in numerous disciplines. Functional Assessment
  • 85.
  • 86. Compared to Compared to Subjects – Social First 25 Results Core Database JSTOR/ Google Sciences Results Scholar Results Anthropology/Geography/Maps ~ ~ ~ Gender Studies ~ ~ - History + + + International Political Economy ~ - ~ Psychology + - ~ Sexuality Studies + + +
  • 87. Outcomes & Future Assessment  Recommendation to purchase  Improvements  Local configuration  Enhancement requests  Marketing & Communication  Benefit of Iterative Assessment  Future assessment  Applicability of new coverage  Revisiting usability  Overlap with other search tools
  • 88. THANK YOU Thank you for joining us today. Please take a moment to fill out the brief online survey. We look forward to hearing from you!

Hinweis der Redaktion

  1. Publishers must decide what content is appropriate and at what level. respect the rights of the publisher and be sensitive to their business needs. Trust by the information provider that the information indexed is correct and updated. Sharing of information on the use of the indexed content. Show users only what they are allowed to see. Authority – indicate the source of the record. 3. Fair linking by discovery providers – typically in the hands of the library via OpenURL link resolvers.4. How can publishers assess use of their content in Discovery ServicesCmplexity and uncertainty pose barriers to participation
  2. Currently working OK but still governed by private agreements between discovery service provider and content providers and relies on a wide range of formats and data exchange processes; Complexity and uncertainty pose barriers to participation.
  3. The goal of this work item is to create a working group to define standards and/or best practices for the new generation of library discovery services that are based on indexed search. These discovery services are primarily based upon indexes derived from journals, ebooks and other electronic information of a scholarly nature. Project goals include: provision of effective means for libraries to evaluate the breadth and depth of content indexed by discovery services and the degree of availability of content to different institutions and to different users; development of a set of best practices that can help streamline the process by which information providers work with discovery service vendors, including creation of a common vocabulary; streamlining of the interaction and communication between vendors and information providers, including activation of libraries' subscriptions; definition of models for fair linking from the discovery service to the publisher content; and determination of what usage statistics should be collected, for whom, and how these should be disseminated.
  4. Talking PointsThe Five Laws were proposed by S.R. Ranganathan (a Mathematician and Librarian from India) to outline his view for operating a library systemHe is considered to be one of the early thinkers leading the view that librarianship was a science While his original vision was focused on a world of physical media, his laws are founded in providing a library system that is focused on the user (the “reader” in his terminology).
  5. Given there is such a wide array of media, devices, professional networks, and platforms that are available to users today, we propose the following revision to the 5 Laws…The Five Laws can be updated and reinterpreted to accommodate the variety of media that are now available – but the focus must remain on the varying needs and goals of users.
  6. At the highest level, the goals of users are very different and what they value is very different.
  7. In our industry, the focus of analytics has been on “Usage”.The focus of Usage Analytics is understanding the discovery and consumption of documents. This includes Counter reporting of variables such as “Searches” and “Retrieves”. ProQuest has begun to weave in analysis from two other sources which have lead to some opportunities for “break through” research which will allow ProQuest to become more efficient and effective with its platform over time. Behavioral Analytics allow us to understand how users are getting to our site. Visits, page views, time on site and specific actions can be tracked. Attitudinal Analytics allow us to see who the user is and what do they want. This leads to the ability to track satisfaction, which we think may hold promise as a proxy for the performance from a user perspective. It also allows us to perform segment analysis on specific personas so we can match visitors with actions.
  8. In our industry, the focus of analytics has been on “Usage”.The focus of Usage Analytics is understanding the discovery and consumption of documents. This includes Counter reporting of variables such as “Searches” and “Retrieves”. ProQuest has begun to weave in analysis from two other sources which have lead to some opportunities for “break through” research which will allow ProQuest to become more efficient and effective with its platform over time. Behavioral Analytics allow us to understand how users are getting to our site. Visits, page views, time on site and specific actions can be tracked. Attitudinal Analytics allow us to see who the user is and what do they want. This leads to the ability to track satisfaction, which we think may hold promise as a proxy for the performance from a user perspective. It also allows us to perform segment analysis on specific personas so we can match visitors with actions.
  9. In this scenario, the group starts their search for “space tourism” via a discovery service such as Summon. They click through to the ProQuest platform and land on the Washington Post article on the subject. They decide to run another search, which “hits” all databases in their subscription.Notice when they arrive at the ProQuest platform, they are searching all databases in their subscription. Therefore, subsequent searches will hit every database on their subscription. This activity shows up on usage reports.
  10. In the talk, mention that we discovered the cause by analyzing some referring URL data. That’s part of the behavioral data that we now segue to.
  11. This is view of visits to our new platform per day. [Should we hide the Y-Axis label?]We have included the 30 day moving average.Precise measurement of visits on a daily basis allow us to see exactly when there are deviations. Notice how there is a very consistent pattern for 6 straight weeks. In the 7th week, there is anomaly? Why?... That is February 14th, Valentine’s day. Apparently, not many were studying on that day.Notice spike in traffic near the end of March (just before most US Spring Break) and the dip in early April (vacation, Easter). Continuous monitoring allow us to see regular patterns in the data, which give us a credible baseline. We can then detect even small changes that deviate from the pattern.
  12. After making a new release, we found that the pages viewed/ visit were down.This was considered a Key Performance Indicator. However, after reviewing data from Satisfaction and Time Spent on Site, we found that my making our platform more efficient and effective, we may have been making improvement our platform despite diminishing this metric.
  13. In our industry, the focus of analytics has been on “Usage”.The focus of Usage Analytics is understanding the discovery and consumption of documents. This includes Counter reporting of variables such as “Searches” and “Retrieves”. ProQuest has begun to weave in analysis from two other sources which have lead to some opportunities for “break through” research which will allow ProQuest to become more efficient and effective with its platform over time. Behavioral Analytics allow us to understand how users are getting to our site. Visits, page views, time on site and specific actions can be tracked. Attitudinal Analytics allow us to see who the user is and what do they want. This leads to the ability to track satisfaction, which we think may hold promise as a proxy for the performance from a user perspective. It also allows us to perform segment analysis on specific personas so we can match visitors with actions.
  14. We can confidently state that End Users (Students and Professors) have a higher satisfaction than Librarians The numbers are so polarized that we may run the risk of diminishing satisfaction with End Users if we improve satisfaction with Librarians. Is difference due to Task, Visit Frequency or Persona differences?
  15. We can confidently state that End Users (Students and Professors) have a higher satisfaction than Librarians The numbers are so polarized that we may run the risk of diminishing satisfaction with End Users if we improve satisfaction with Librarians. Is difference due to Task, Visit Frequency or Persona differences?
  16. This chart shows a trend-line of Student Satisfaction.Notice that there is a December dip… perhaps due to exam season, tight deadlines.. End of the exam season.Would have expected a similar drop in May. However, we were able to maintain similar satisfaction levels.It will be interesting to see if we are able to gain satisfaction in September.
  17. This graphic shows Student Satisfaction by Week. The trend-line is satisfaction, the bars in the background show the number of surveys collected for the week. The green boxes (that fade in) show our performance leading up to academic semesters. In both cases our satisfaction was at relatively low
  18. This chart shows the primary purpose for visitors to our platform and their Satisfaction differences.Those that are working on an ongoing research project, are selecting or exploring a research project and are looking for 2-3 good articles have slight higher than average SatisfactionThose that are on our platform to find a quote, statistics or fact, looking for a specific document or have followed a link to a specific article have lower than average satisfaction.This chart shows that expectations of the audience can have a dramatic impact on satisfaction.
  19. What you see on this graph is a comparison the Satisfaction of students by School Type (Community College, Undergrad, Graduate School and Elementary/High School)We are able to perform segment analysis on the data with the goal of finding out if there are significant differences in Satisfaction by group.The blue dots represent the indexed satisfaction score on a 100 points scale. The upper bound (green dash) and the lower bound (red dash) represent the 90% confidence interval range (as calculated by the sample size of respondents and the standard deviation of the satisfaction data). The highest satisfaction group is community colleges. The lowest Satisfaction group is Elementary/High Schools. It is interesting to note that the Undergrads have a slightly higher than average satisfaction and Graduate students have a slightly lower than average Satisfaction, though both are close to the overall average. This reinforces that we are matching intended “sweet spot” for our platform, which is “intermediate searchers”.
  20. What you see on this graph is a comparison the Satisfaction of students by School Type (Community College, Undergrad, Graduate School and Elementary/High School)We are able to perform segment analysis on the data with the goal of finding out if there are significant differences in Satisfaction by group.The blue dots represent the indexed satisfaction score on a 100 points scale. The upper bound (green dash) and the lower bound (red dash) represent the 90% confidence interval range (as calculated by the sample size of respondents and the standard deviation of the satisfaction data). The highest satisfaction group is community colleges. The lowest Satisfaction group is Elementary/High Schools. It is interesting to note that the Undergrads have a slightly higher than average satisfaction and Graduate students have a slightly lower than average Satisfaction, though both are close to the overall average. This reinforces that we are matching intended “sweet spot” for our platform, which is “intermediate searchers”.
  21. Depending on the school type – the tasks are different. 4 key columns Select or explore topicArticles for an assignmentResearch project (high for graduate school)Specific Article (elementary in alignment with graduate)
  22. 1. Retrieves per search is higher with hospitals with lower satisfaction while the inverse is true for the Nursing Medical Schools.