Elsevier SciVal Experts at      the University of MichiganJeff Horon (jhoron@umich.edu) – April 2011
What is SciVal Experts?ImplementationUse casesWhat‟s next?                          jhoron@umich.edu
http://www.researchprofiles.collexis.com/umichigan/                   is now      http://www.experts.scival.com/umichigan ...
SciVal Experts is a customizable directory of research expertise,automatically populated with publication data.           ...
Find an Expert          Search using a concept                              SciVal Experts identifies  START              ...
Identifying Experts based on Concept Search and Discovery                                                            jhoro...
It uses „fingerprint’ technology to provide researchers, researchadministrators, and senior leadership with the ability to...
Fingerprinting is accomplished by:  Creating lists of publications for each author to accurately represent     them      •...
Fingerprinting is accomplished by:  Creating lists of publications for each author to accurately represent     them      •...
Extracting concepts from those publications to create a FingerprintSciVal Experts (formerly Collexis Research Profiles)and...
Aggregating individual fingerprints across organizational units allows for theFingerprints can be aggregated at various le...
This information is combined to create an application that lets you-Search and explore expertise across the University of ...
Fingerprints built from Grants and Publications                                                  jhoron@umich.edu
Understand which experts are (or are not) working together across the organization and view external collaborations       ...
Participation across SciVal Experts implementations…… and in customized multi-institution implementations and other nation...
Implementation2007: Increased interest in an internal expertise and research  activity system and a non-financial view of ...
ImplementationSelected Collexis Research Profiles due to:  -Significantly lower cost of implementation (cost  approximates...
Value PropositionsImplementation guided by layered value propositions: Macro: Supporting strategic decision making and ana...
Implemented 2008-2009; Launched 2009Site Traffic   ~70% search   ~20% direct   ~10% link   Global user base               ...
Value to Faculty                               Increases faculty   Makes it easier             ‘discoverability’   for fac...
Value to Departments / Centers      Makes it easier to track      publications, working      relationships, and      resea...
Value to Schools / Colleges [System]    Makes it easier to find experts,    engage with external contacts, and    observe ...
Value to Schools / Colleges [Data]     Data feeds allow for customized     analysis and reporting     (e.g. publication ou...
Value Across Schools / Colleges    School / College        School / College  Departments / Centers   Departments / Centers...
„Micro‟ Use CasesSupporting CollaborationSystem: Finding similar experts for new faculty onboardingAd Hoc: Supporting a co...
Finding similar experts for new faculty onboarding How can we help to match new faculty to the people that   they should c...
Finding similar experts for new faculty onboarding                                                     jhoron@umich.edu
Finding similar experts for new faculty onboarding  Organizational and scientific context of a grant or publication   jhor...
Gartner‟s Hype Cycle                                                                                     jhoron@umich.edu ...
Short Circuit the Hype Cycle                                                                                      jhoron@u...
About Norms                The world is a                           blunt normalizing                           instrument...
Supporting a Conference  How do we use the data to support „Health Services  Research Day‟?       -Match research interest...
„Meso‟ Use CasesSupporting Leadership (Department Chairs, Deans)System: „Research Network‟ visualization and expertise  di...
„Research Network‟ visualization and expertisediscovery    “I can connect people in my department based on what       I kn...
„Research Network‟ visualization and expertise discovery          Cardiology          Department           May 2010       ...
„Research Network‟ visualization and expertise discovery    Cardiology                                                    ...
Strategic analysisWhat are we good at?How can we understand our expertise broadly?What new centers or institutes should we...
[Social] Network AnalysisSo, like Facebook? Sort of.But networks are everywhere.And they aren‟t necessarily “social.”     ...
Building BlocksNodes [Vertices] – People, Things, IdeasLinks [Edges] – Relationships                     or               ...
Visualization                jhoron@umich.edu
Visualization                jhoron@umich.edu
Metrics – Degree                   Highest                   Degree                             jhoron@umich.edu
Metrics – Degree – In-Degree                 Highest                 In-Degree                 “Popular”                  ...
Metrics – Degree – Out-Degree      Highest Out-Degree      “Gregarious”                                jhoron@umich.edu
Metrics – Betweenness                        jhoron@umich.edu
Metrics – Betweenness              Highest              Betweenness              “Bridge”              “Commonalities”   j...
Metrics – Closeness                Highest                Closeness                “Who could spread                a rumo...
Metrics – Closeness                      jhoron@umich.edu
Metrics – Eigenvector Centrality                  Highest                  Eigenvector                  Centrality        ...
Metrics – Eigenvector Centrality            Increasing            Eigenvector            Centralityjhoron@umich.edu
Recap    Degree (undirected): Number of     connections    In- / Out-Degree (directed): “Popular” /      “Gregarious”    B...
Connect:People to Other PeopleThings/Ideas to Other Things/IdeasPeople to Things/Ideas                                    ...
Connect:People to Other PeopleThings/Ideas to Other Things/IdeasPeople to Things/Ideas to Other People                    ...
Data You May Already HaveFaculty/Staff and Appointing DepartmentsFaculty/Staff and GroupsPrincipal Investigators and Spons...
Specific ExamplesThings/Ideas and Other Things/IdeasConcepts and Other Concepts in Publications and Sponsored Project Prop...
Specific ExamplesPeople and Things/IdeasPeople and Sponsored ProjectsAuthors and Publication Concepts                     ...
Specific ExamplesPeople and Other PeopleCo-Participation on Sponsored Projects, Co-Authorship                             ...
If the other attendees are starting to looklike this to you…                                       jhoron@umich.edu
Strategic Analysis: What are our top disease areas?                                               jhoron@umich.edu
Strategic Analysis: What are our top disease areas? Depression Center                                   Brehm Center (Diab...
Strategic Analysis: What are our top disease areas?                                 Basic/Animal Science                  ...
Strategic Analysis: Who can we build a program around?                                                 jhoron@umich.edu
Recall: Metrics – Eigenvector Centralityjhoron@umich.edu
Strategic Analysis: Who can we build a program around?                                                 jhoron@umich.edu
„Macro‟ Use Cases Funding, Funding, Funding, F-u-n-d-i-n-g System: RFA targeting Ad Hoc: Supporting program project applic...
RFA Targeting                     Mass e-mail,                     likely to be New funding         ignoredannouncement,  ...
RFA Targeting                jhoron@umich.edu
RFA Targeting                jhoron@umich.edu
RFA Targeting Led to design of an automated matching   process using SciVal Funding (currently   being beta tested):      ...
Supporting program project applications Data-gathering challenge at the limits of  „human scale‟      • # true/false value...
Supporting program project applications                                    jhoron@umich.edu
Supporting program project applications                                    jhoron@umich.edu
Supporting program project applications                            P30 collaboration                            network   ...
Supporting program project applications                       P30 collaboration network                       demonstrates...
SciVal Experts at the Univeristy of Michigan    National Research Networks                                     Participati...
Future of SciVal Experts at the University of MichiganUniversity Research Corridor (URC)    -Michigan State University    ...
Scopus-based version beyond the Medical School Can we do this for the whole University?                                   ...
Scopus-based version beyond the Medical School                          Elsevier                          Thesauri        ...
Scopus-based version beyond the Medical Schooljhoron@umich.edu
jhoron@umich.edu
ResourcesSciVal Experts for the University of Michigan:http://www.experts.scival.com/umichiganElsevier SciVal Experts Info...
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Science of Team Science Conference - Research Networking Tools Workshop - Elsevier SciVal Experts at the University of Michigan

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Science of Team Science Conference - Research Networking Tools Workshop - Elsevier SciVal Experts at the University of Michigan

  1. 1. Elsevier SciVal Experts at the University of MichiganJeff Horon (jhoron@umich.edu) – April 2011
  2. 2. What is SciVal Experts?ImplementationUse casesWhat‟s next? jhoron@umich.edu
  3. 3. http://www.researchprofiles.collexis.com/umichigan/ is now http://www.experts.scival.com/umichigan jhoron@umich.edu
  4. 4. SciVal Experts is a customizable directory of research expertise,automatically populated with publication data. jhoron@umich.edu
  5. 5. Find an Expert Search using a concept SciVal Experts identifies START concept University of Michigan you are interested in experts See the experts found Add related concepts additional concept Add to refine your search (optional) Review publication lists for your experts jhoron@umich.edu
  6. 6. Identifying Experts based on Concept Search and Discovery jhoron@umich.edu
  7. 7. It uses „fingerprint’ technology to provide researchers, researchadministrators, and senior leadership with the ability to understandand utilize the expertise across their institution. Compendex Text Knowledge Base Fingerprint jhoron@umich.edu
  8. 8. Fingerprinting is accomplished by: Creating lists of publications for each author to accurately represent them • Built automatically using disambiguation algorithm • Manually checked by a quality assurance team to ensure accuracy Automatic Process Algorithm using identifying J. Smith elements determines clusters: J. Smith • Name John Smith • Location • Co-Authors • Key Concepts JT Smith • Journals • more… Manual Process Human quality assurance team builds profiles, John T. Smith reviews results quarterly jhoron@umich.edu
  9. 9. Fingerprinting is accomplished by: Creating lists of publications for each author to accurately represent them • Built automatically using disambiguation algorithm • Manually checked by a quality assurance team to ensure accuracy Automatic Process Algorithm using identifying J. Smith elements determines C.V.-by-C.V., Publication- clusters: by-Publication validation of J. Smith • Name John all profiled faculty • Location Smith • Co-Authors Result: Extemely high Key Concepts • JT quality data in terms•of Smith comprehensiveness, Journals • more… accuracy, and ease of use Manual Process Improved user experience, quality assurance Human adoption, and enables team builds profiles, administrative use reviews results quarterly John T. Smith jhoron@umich.edu
  10. 10. Extracting concepts from those publications to create a FingerprintSciVal Experts (formerly Collexis Research Profiles)and department or showing their expertise at both the researcher center level jhoron@umich.edu
  11. 11. Aggregating individual fingerprints across organizational units allows for theFingerprints can be aggregated at various levelsorganization to know what individuals know and what groups knowtogether… • New publications and grants? • Emerging trends? • Who is working together? Who isn’t? • With which other organizations (internal and external) are we Aggregated Fingerprints collaborating? Department • What are we good at? Individual Fingerprints Institute Research Group jhoron@umich.edu
  12. 12. This information is combined to create an application that lets you-Search and explore expertise across the University of Michigan-Analyze Department level information about publications, expertise andmore, and-View related concepts or publications from similar experts jhoron@umich.edu
  13. 13. Fingerprints built from Grants and Publications jhoron@umich.edu
  14. 14. Understand which experts are (or are not) working together across the organization and view external collaborations jhoron@umich.edu
  15. 15. Participation across SciVal Experts implementations…… and in customized multi-institution implementations and other nationalnetworks jhoron@umich.edu
  16. 16. Implementation2007: Increased interest in an internal expertise and research activity system and a non-financial view of faculty activity “Why can’t you just make a system I can search that says what everyone is working on? It seems so simple.” – Biochemistry researcherInitial approach was an internal C.V. system, but this had a high data entry burden and faced severe impediments to adoptionLearned about commercial options, including NIH-Collexis reviewer-finding tools jhoron@umich.edu
  17. 17. ImplementationSelected Collexis Research Profiles due to: -Significantly lower cost of implementation (cost approximates 1 developer FTE) -Lower risk, fixed costs leave no potential for a runaway IT project -No manual data collection -Automatic, ongoing data collection requires minimal internal FTE commitments -Control of the author-publication (‘who wrote what’) list -Ability to download underlying data, permissive use jhoron@umich.edu
  18. 18. Value PropositionsImplementation guided by layered value propositions: Macro: Supporting strategic decision making and analysis Meso: Supporting faculty data infrastructure Micro: Supporting collaboration and connection The combination of all three was an easy institutional support decision. jhoron@umich.edu
  19. 19. Implemented 2008-2009; Launched 2009Site Traffic ~70% search ~20% direct ~10% link Global user base jhoron@umich.edu
  20. 20. Value to Faculty Increases faculty Makes it easier ‘discoverability’ for faculty to to external users: find each other -External collaborators -Students -Sponsors -Media Faculty jhoron@umich.edu
  21. 21. Value to Departments / Centers Makes it easier to track publications, working relationships, and research trends Departments / Centers Faculty jhoron@umich.edu
  22. 22. Value to Schools / Colleges [System] Makes it easier to find experts, engage with external contacts, and observe trends School / College Departments / Centers Faculty jhoron@umich.edu
  23. 23. Value to Schools / Colleges [Data] Data feeds allow for customized analysis and reporting (e.g. publication output, collaborations between center members, etc.) School / College Departments / Centers Faculty jhoron@umich.edu
  24. 24. Value Across Schools / Colleges School / College School / College Departments / Centers Departments / Centers Faculty FacultyCross-School / College‘Discoverability’ concept jhoron@umich.edu
  25. 25. „Micro‟ Use CasesSupporting CollaborationSystem: Finding similar experts for new faculty onboardingAd Hoc: Supporting a conference jhoron@umich.edu
  26. 26. Finding similar experts for new faculty onboarding How can we help to match new faculty to the people that they should connect with at Michigan? “I get most of my information on who to connect with from the people who are near my office.” – Pediatric neurosurgery researcher “Most of my connections stem from the people I met on my evaluation/selection committee during hiring after my fellowship.” – Orthopaedic surgery researcher jhoron@umich.edu
  27. 27. Finding similar experts for new faculty onboarding jhoron@umich.edu
  28. 28. Finding similar experts for new faculty onboarding Organizational and scientific context of a grant or publication jhoron@umich.edu
  29. 29. Gartner‟s Hype Cycle jhoron@umich.edu Source: http://en.wikipedia.org/wiki/File:Gartner_Hype_Cycle.svg
  30. 30. Short Circuit the Hype Cycle jhoron@umich.edu Source: http://en.wikipedia.org/wiki/File:Gartner_Hype_Cycle.svg
  31. 31. About Norms The world is a blunt normalizing instrument Achieving different results requires continuously introducing positive variation jhoron@umich.edu
  32. 32. Supporting a Conference How do we use the data to support „Health Services Research Day‟? -Match research interests, project needs, opinions -Shuffle existing working relationships, rank, etc. Social interaction models for different events throughout the day using a combination of SciVal Experts concepts and attendee survey data Senior Faculty Junior Faculty„Pitch‟ Group Mentoring Mixed Equals jhoron@umich.edu
  33. 33. „Meso‟ Use CasesSupporting Leadership (Department Chairs, Deans)System: „Research Network‟ visualization and expertise discoveryAd Hoc: Strategic analysis jhoron@umich.edu
  34. 34. „Research Network‟ visualization and expertisediscovery “I can connect people in my department based on what I know about their expertise, but I’d love to a system to help make sure I’m capturing everything.” – Pediatric cancer chair “It would be great to know that I could route someone to a system that helps expose expertise in case I can’t respond to their request as soon as possible.” Ensuring that we deliver on the promise of strategic recruitment efforts by monitoring collaboration jhoron@umich.edu
  35. 35. „Research Network‟ visualization and expertise discovery Cardiology Department May 2010 Jalife J jhoron@umich.edu
  36. 36. „Research Network‟ visualization and expertise discovery Cardiology jhoron@umich.edu Department April 2011
  37. 37. Strategic analysisWhat are we good at?How can we understand our expertise broadly?What new centers or institutes should we create? jhoron@umich.edu
  38. 38. [Social] Network AnalysisSo, like Facebook? Sort of.But networks are everywhere.And they aren‟t necessarily “social.” jhoron@umich.edu
  39. 39. Building BlocksNodes [Vertices] – People, Things, IdeasLinks [Edges] – Relationships or jhoron@umich.edu
  40. 40. Visualization jhoron@umich.edu
  41. 41. Visualization jhoron@umich.edu
  42. 42. Metrics – Degree Highest Degree jhoron@umich.edu
  43. 43. Metrics – Degree – In-Degree Highest In-Degree “Popular” jhoron@umich.edu
  44. 44. Metrics – Degree – Out-Degree Highest Out-Degree “Gregarious” jhoron@umich.edu
  45. 45. Metrics – Betweenness jhoron@umich.edu
  46. 46. Metrics – Betweenness Highest Betweenness “Bridge” “Commonalities” jhoron@umich.edu
  47. 47. Metrics – Closeness Highest Closeness “Who could spread a rumor?” jhoron@umich.edu
  48. 48. Metrics – Closeness jhoron@umich.edu
  49. 49. Metrics – Eigenvector Centrality Highest Eigenvector Centrality “Importance” jhoron@umich.edu
  50. 50. Metrics – Eigenvector Centrality Increasing Eigenvector Centralityjhoron@umich.edu
  51. 51. Recap Degree (undirected): Number of connections In- / Out-Degree (directed): “Popular” / “Gregarious” Betweenness: “Bridges” / “Commonalities” Closeness: “Rumor starting point” Eigenvector Centrality: “Importance” jhoron@umich.edu
  52. 52. Connect:People to Other PeopleThings/Ideas to Other Things/IdeasPeople to Things/Ideas jhoron@umich.edu
  53. 53. Connect:People to Other PeopleThings/Ideas to Other Things/IdeasPeople to Things/Ideas to Other People jhoron@umich.edu
  54. 54. Data You May Already HaveFaculty/Staff and Appointing DepartmentsFaculty/Staff and GroupsPrincipal Investigators and Sponsored ProjectsSponsored Projects and ParticipantsAuthors and PublicationsCitations jhoron@umich.edu
  55. 55. Specific ExamplesThings/Ideas and Other Things/IdeasConcepts and Other Concepts in Publications and Sponsored Project Proposal / Award Data jhoron@umich.edu
  56. 56. Specific ExamplesPeople and Things/IdeasPeople and Sponsored ProjectsAuthors and Publication Concepts jhoron@umich.edu
  57. 57. Specific ExamplesPeople and Other PeopleCo-Participation on Sponsored Projects, Co-Authorship jhoron@umich.edu
  58. 58. If the other attendees are starting to looklike this to you… jhoron@umich.edu
  59. 59. Strategic Analysis: What are our top disease areas? jhoron@umich.edu
  60. 60. Strategic Analysis: What are our top disease areas? Depression Center Brehm Center (Diabetes) Cardiovascular Center Pain Center Cancer Center jhoron@umich.edu
  61. 61. Strategic Analysis: What are our top disease areas? Basic/Animal Science jhoron@umich.edu
  62. 62. Strategic Analysis: Who can we build a program around? jhoron@umich.edu
  63. 63. Recall: Metrics – Eigenvector Centralityjhoron@umich.edu
  64. 64. Strategic Analysis: Who can we build a program around? jhoron@umich.edu
  65. 65. „Macro‟ Use Cases Funding, Funding, Funding, F-u-n-d-i-n-g System: RFA targeting Ad Hoc: Supporting program project applications jhoron@umich.edu
  66. 66. RFA Targeting Mass e-mail, likely to be New funding ignoredannouncement, RFA, opportunity, initiative (or Targeted, personalized e-mails other text) jhoron@umich.edu
  67. 67. RFA Targeting jhoron@umich.edu
  68. 68. RFA Targeting jhoron@umich.edu
  69. 69. RFA Targeting Led to design of an automated matching process using SciVal Funding (currently being beta tested): jhoron@umich.edu
  70. 70. Supporting program project applications Data-gathering challenge at the limits of „human scale‟ • # true/false values = (# investigators2 - # investigators) (# types of working relationships) • 100 investigators, 1 type of relationship = 9,900 values Researcher Researcher Researcher Researcher 1 2 3 4 Researcher --- 1 Researcher Co-author: Y --- 2 Co-grant: N Researcher Co-author: N Co-author: Y --- 3 Co-grant: N Co-grant: Y Researcher Co-author: N Co-author: N Co-author: Y --- 4 Co-grant: Y Co-grant: Y Co-grant: Y jhoron@umich.edu
  71. 71. Supporting program project applications jhoron@umich.edu
  72. 72. Supporting program project applications jhoron@umich.edu
  73. 73. Supporting program project applications P30 collaboration network jhoron@umich.edu
  74. 74. Supporting program project applications P30 collaboration network demonstrates that PI (center) bridges multiple clusters of researchers jhoron@umich.edu
  75. 75. SciVal Experts at the Univeristy of Michigan National Research Networks Participation in SciVal Experts community and national network search at no additional cost or effort jhoron@umich.edu
  76. 76. Future of SciVal Experts at the University of MichiganUniversity Research Corridor (URC) -Michigan State University -Wayne State University -University of MichiganCurrently in development discussions with business engagement and research groups from all three institutionsPlan is to combine implementations of SciVal Experts across the three institutions, but customized into a business development portalOrganized by strategic initiatives that URC is pursuing, not by organizational structure, such as clean water, stem cell research and more jhoron@umich.edu
  77. 77. Scopus-based version beyond the Medical School Can we do this for the whole University? 16,500 peer-reviewed journals (including more than 1,200 Open Access journals) Extensive conference coverage (3.6 million conference papers) 600 trade publications 350 book series Elsevier Thesauri Model of publication-driven expertise isn‟t a perfect match for all departments jhoron@umich.edu
  78. 78. Scopus-based version beyond the Medical School Elsevier Thesauri …. enables… jhoron@umich.edu
  79. 79. Scopus-based version beyond the Medical Schooljhoron@umich.edu
  80. 80. jhoron@umich.edu
  81. 81. ResourcesSciVal Experts for the University of Michigan:http://www.experts.scival.com/umichiganElsevier SciVal Experts Info Site:http://www.info.scival.com/expertsNodeXLhttp://nodexl.codeplex.com-Microsoft Research and University Collaborators-Installs as an Excel 2007+ Template-Free, easy, and powerful with top-notch visualization jhoron@umich.edu

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