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Introduction to VIVO
Paul Albert & Ryan Cobine
Code4Lib
February 7, 2011
VIVO aims to address certain
 intractable problems of academia

- Finding collaborators
- Automatically generating list of all a person’s
  publications
- Inferring a researcher’s expertise
- Outputting a researcher’s work in a standard format
  such as a CV or a biosketch.
- Easily moving institutional data from one system to
  another
Preview of version 1.2
http://is.gd/562IU5
Index lists
most classes
Browse by class
Search using
   facets
Individual profile
                                      Faculty
                                      Affairs
     User Input




                           Course
          Scopus         management



Faculty           Grants DB
Affairs
Co-author visualizations
Is VIVO really Facebook
for researchers???
FarmVille applic  ation for VIVO
currently i n development!
Version 1.0 drops June 2011
Not Facebook Reason #1



             Open
             source
Open
     data



Not Facebook Reason #2
VIVO’s data is from
     authoritarian sources.

                              LOL he means
                               authoritative
                               #hatemyjob




Not Facebook Reason #3
Not Facebook Reason #4



Embraces
semantic
approach
A Brief History of VIVO
2003 – VIVO created for local use at Cornell University
(Ithaca) by life sciences
2009 – The US National Center for Research Resources
(NIH) awards the VIVO Collaboration a two-year $12.2
million grant to improve VIVO
2010 Apr. – Version 1.0 released
2010 Aug. – Version 1.1
2010 Oct. – First VIVO conference (NYC); version 1.1.1
2011 Feb. – Version 1.2 and Harvester version 1.0
2011 Aug. – Second VIVO conference (D.C.)
$%&&' ($)*%#+),-!" #$%&" '(%)*" +,-(
                                                       (%8$(2"3$=D%"#$5%($2" B.6E%F$
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              D%&2" 4(6%&" H-I$2" 7-?$<D" 3;B&       $(&$C2" G-..C" 36?*.$F%>$(2" J*$
$?2" G>=%" '
         VIVO Collaboration
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              >D.$(2" B..6$" 4>?DD->?$&2" ,D(6?" ,%  ?$2" ,D(6?U&$" ,-M%(2" P%.(6$" #%5
 -9?2" K8C" 4
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 &?-&2" J%(%"
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               (&68%" V-<6&%*D2" 7>.6$" G%(=$?*C2"   4(6%&" '$$?$2" :%8(%*%H$.$2" 36
&" #>&&2" /--
              6%&.6" 3%2" A-F$(*" GO" 3;#-&%.=2"     K?69/(%=D%&V-&M%Z>2" 3%(9" /(
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               0)4)$%!" A6;D%(=" :-$." +/-&;$" /012"   A6;%(=-" B?<%=%2" #%8%(6?" Y-(
6""&' ".' 7%
               :$M(&O" " 86%' 54#)99+' :%+%1#46' 2$   +;,<,%!" V$(%.=" 7-C;$" +J;(6<<?"
 ;D%$." P$M%"
              ,%*D$(6&$" #>&&2" 4(%&*" '$..$C2" /%>    .%" '6&M2" " K&M$.%" 3>(($..2" 4%(F
 $M" #>&.%<2"
                                                        1+6)$>,"$' ($)*%#+),-?' 5,@' A"
-F.$2" ,%(C" Y D-8%?2" 36;D%$.$$&Y(68%(;D6O" " =
                         JYH" /012" '(6?U" HO" G-.8$?2" ,%$(6$G->;D6&?2" V$-(M$" 7-?$
Collaboration & coordination
Publishers and aggregators – Elsevier, Thomson Reuters,
ORCID, Collexis, Information Today, CiteSeer, Arxiv
Ontology – Eagle-I, BIBO, FOAF, UCSF
Federal agencies – OTSP, NIH, NSF, VA, USDA
Search providers – Google, Bing, Yahoo
Professional societies – AAAS
Semantic web community – DERI, Tim Berners-Lee,
MyExperiment, ConceptWeb, Linked Data
Schools and consortia – SURA, CTSA, CIC, CBC, HubZero,
FLR, dozens of individual schools
Existing application and service providers – over 100
Local systems         Data aggregators   Individuals or
   of record           and repositories    their proxies


Human resources


Academic affairs


Grants databases
                     Sources of data
Clinical databases


 Events calendar


Credentialing DB


Course database
Local data flow in VIVO

    local
 systems of
   record
              data ingest     VIVO        shared as
              ontologies      (RDF)         RDF
                (RDF)
 national
 sources                                  RDF harvest
                                          SPARQL endpoint

                            interactive
                               input
Data in VIVO is stored using Resource
 Description Framework (RDF)



   Subject       Predicate         Object
Walter Mondale    head of    Trilateral Commission
Semantic representation of data
                                                   has author
                                                                         Andrew McDonald

  Mining the record: Historical evidence for…                author of                        academic staff
                                                                             research area         in
                                                             research area for      academic staff
                                     has author
                         author of
      taught by
                                             research area                 crop management
                           Susan Riha
               teaches
                                                    research area for
                                              headed by
CSS 4830                                                                                    NYS WRI
                                                  head of
                     faculty appointment in
                  features                    faculty members
                   person
 featured in                                                             Earth and Atmospheric
                                                                                Sciences


         Cornell’s supercomputers crunch weather data to help
                       farmers manage chemicals
VIVOs can connect with one another
VIVO enables authoritative
        data about researchers to
       join the Linked Data cloud.

DT<!^^(6;D%(=O;CM%&6%9O=$^_``a^b`^.-=^.-=@=%*%?$*?c_`b`@`d@__c;-.-($=O<&M
An accessible introduction
to the semantic web
Fine Arts


             Draw organizational charts
                 Health and Human Performance

  Pharmacy
             http://vivoweb.org/files/orgLast.pdf
                  Design, Construction and Planning
                                       University of Florida
                                       Law
                                                       Nursing
            Business         Journalism



                                                        Dentistry
                                 Education
Agricultural and Life Sciences
Repurpose content into Drupal
http://bit.ly/gmm8Ng
!"!#$%&$'()(*+$$%,-%.&$%/00
1234567$85+94$2:7$;5:<969:=9$;9:+96&$>2*?@:)+5:$A;
An Introduction to VIVO
- Adopt VIVO
- Provide data
- Develop an application
- Ask questions – vivoweb.org/contact
- Chat – irc.freenode.net #vivo



                           Get involved

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An Introduction to VIVO

  • 1. Introduction to VIVO Paul Albert & Ryan Cobine Code4Lib February 7, 2011
  • 2. VIVO aims to address certain intractable problems of academia - Finding collaborators - Automatically generating list of all a person’s publications - Inferring a researcher’s expertise - Outputting a researcher’s work in a standard format such as a CV or a biosketch. - Easily moving institutional data from one system to another
  • 3. Preview of version 1.2 http://is.gd/562IU5
  • 6. Search using facets
  • 7. Individual profile Faculty Affairs User Input Course Scopus management Faculty Grants DB Affairs
  • 9. Is VIVO really Facebook for researchers???
  • 10. FarmVille applic ation for VIVO currently i n development! Version 1.0 drops June 2011
  • 11. Not Facebook Reason #1 Open source
  • 12. Open data Not Facebook Reason #2
  • 13. VIVO’s data is from authoritarian sources. LOL he means authoritative #hatemyjob Not Facebook Reason #3
  • 14. Not Facebook Reason #4 Embraces semantic approach
  • 15. A Brief History of VIVO 2003 – VIVO created for local use at Cornell University (Ithaca) by life sciences 2009 – The US National Center for Research Resources (NIH) awards the VIVO Collaboration a two-year $12.2 million grant to improve VIVO 2010 Apr. – Version 1.0 released 2010 Aug. – Version 1.1 2010 Oct. – First VIVO conference (NYC); version 1.1.1 2011 Feb. – Version 1.2 and Harvester version 1.0 2011 Aug. – Second VIVO conference (D.C.)
  • 16. $%&&' ($)*%#+),-!" #$%&" '(%)*" +,-( (%8$(2"3$=D%"#$5%($2" B.6E%F$ <%=-&%2" 4(6 %&",%(>?-2" 7-&",-(?-&@A69$(*2" B..C", D%&2" 4(6%&" H-I$2" 7-?$<D" 3;B& $(&$C2" G-..C" 36?*.$F%>$(2" J*$ $?2" G>=%" ' VIVO Collaboration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
  • 17. Collaboration & coordination Publishers and aggregators – Elsevier, Thomson Reuters, ORCID, Collexis, Information Today, CiteSeer, Arxiv Ontology – Eagle-I, BIBO, FOAF, UCSF Federal agencies – OTSP, NIH, NSF, VA, USDA Search providers – Google, Bing, Yahoo Professional societies – AAAS Semantic web community – DERI, Tim Berners-Lee, MyExperiment, ConceptWeb, Linked Data Schools and consortia – SURA, CTSA, CIC, CBC, HubZero, FLR, dozens of individual schools Existing application and service providers – over 100
  • 18. Local systems Data aggregators Individuals or of record and repositories their proxies Human resources Academic affairs Grants databases Sources of data Clinical databases Events calendar Credentialing DB Course database
  • 19. Local data flow in VIVO local systems of record data ingest VIVO shared as ontologies (RDF) RDF (RDF) national sources RDF harvest SPARQL endpoint interactive input
  • 20. Data in VIVO is stored using Resource Description Framework (RDF) Subject Predicate Object Walter Mondale head of Trilateral Commission
  • 21. Semantic representation of data has author Andrew McDonald Mining the record: Historical evidence for… author of academic staff research area in research area for academic staff has author author of taught by research area crop management Susan Riha teaches research area for headed by CSS 4830 NYS WRI head of faculty appointment in features faculty members person featured in Earth and Atmospheric Sciences Cornell’s supercomputers crunch weather data to help farmers manage chemicals
  • 22. VIVOs can connect with one another
  • 23. VIVO enables authoritative data about researchers to join the Linked Data cloud. DT<!^^(6;D%(=O;CM%&6%9O=$^_``a^b`^.-=^.-=@=%*%?$*?c_`b`@`d@__c;-.-($=O<&M
  • 24. An accessible introduction to the semantic web
  • 25. Fine Arts Draw organizational charts Health and Human Performance Pharmacy http://vivoweb.org/files/orgLast.pdf Design, Construction and Planning University of Florida Law Nursing Business Journalism Dentistry Education Agricultural and Life Sciences
  • 26. Repurpose content into Drupal http://bit.ly/gmm8Ng
  • 29. - Adopt VIVO - Provide data - Develop an application - Ask questions – vivoweb.org/contact - Chat – irc.freenode.net #vivo Get involved