An Introduction to VIVO
Upcoming SlideShare
Loading in...5

An Introduction to VIVO






Total Views
Slideshare-icon Views on SlideShare
Embed Views



1 Embed 175 175



Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment

    An Introduction to VIVO An Introduction to VIVO Presentation Transcript

    • Introduction to VIVOPaul Albert & Ryan CobineCode4LibFebruary 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
    • Index listsmost classes
    • Browse by class
    • Search using facets
    • Individual profile Faculty Affairs User Input Course Scopus managementFaculty Grants DBAffairs
    • Co-author visualizations
    • Is VIVO really Facebookfor researchers???
    • FarmVille applic ation for VIVOcurrently i n development!Version 1.0 drops June 2011
    • Not Facebook Reason #1 Open source
    • Open dataNot Facebook Reason #2
    • VIVO’s data is from authoritarian sources. LOL he means authoritative #hatemyjobNot Facebook Reason #3
    • Not Facebook Reason #4Embracessemanticapproach
    • A Brief History of VIVO2003 – VIVO created for local use at Cornell University(Ithaca) by life sciences2009 – The US National Center for Research Resources(NIH) awards the VIVO Collaboration a two-year $12.2million grant to improve VIVO2010 Apr. – Version 1.0 released2010 Aug. – Version 1.12010 Oct. – First VIVO conference (NYC); version 1.1.12011 Feb. – Version 1.2 and Harvester version 1.02011 Aug. – Second VIVO conference (D.C.)
    • $%&& ($)*%#+),-!" #$%&" (%)*" +,-( (%8$(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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
    • Collaboration & coordinationPublishers and aggregators – Elsevier, Thomson Reuters,ORCID, Collexis, Information Today, CiteSeer, ArxivOntology – Eagle-I, BIBO, FOAF, UCSFFederal agencies – OTSP, NIH, NSF, VA, USDASearch providers – Google, Bing, YahooProfessional societies – AAASSemantic web community – DERI, Tim Berners-Lee,MyExperiment, ConceptWeb, Linked DataSchools and consortia – SURA, CTSA, CIC, CBC, HubZero,FLR, dozens of individual schoolsExisting application and service providers – over 100
    • Local systems Data aggregators Individuals or of record and repositories their proxiesHuman resourcesAcademic affairsGrants databases Sources of dataClinical databases Events calendarCredentialing DBCourse 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 ObjectWalter 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 byCSS 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 introductionto the semantic web
    • Fine Arts Draw organizational charts Health and Human Performance Pharmacy Design, Construction and Planning University of Florida Law Nursing Business Journalism Dentistry EducationAgricultural and Life Sciences
    • Repurpose content into Drupal
    • !"!#$%&$()(*+$$%,-%.&$%/001234567$85+94$2:7$;5:<969:=9$;9:+96&$>2*?@:)+5:$A;
    • - Adopt VIVO- Provide data- Develop an application- Ask questions – Chat – #vivo Get involved