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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
  4. Index lists most classes
  5. Browse by class
  6. Search using facets
  7. Individual profile Faculty Affairs User Input Course Scopus management Faculty Grants DB Affairs
  8. Co-author visualizations
  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
  27. !"!#$%&$'()(*+$$%,-%.&$%/00 1234567$85+94$2:7$;5:<969:=9$;9:+96&$>2*?@:)+5:$A;
  28. - Adopt VIVO - Provide data - Develop an application - Ask questions – vivoweb.org/contact - Chat – irc.freenode.net #vivo Get involved
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