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Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
Drawing organization charts_in_vivo
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Drawing organization charts_in_vivo

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  • 1. Drawing Organization Charts Using VIVO by Alex Rockwell
  • 2. Introduction • Purpose • Program Design • Use Cases • Extending to People
  • 3. Purpose • One of the goals of VIVO is to show which organizations faculty, staff, and students belong to. • UF's academic structure is highly complex and does not correspond to its financial structure. • UF does not have a facility to create organizational charts. Most organization charts are created by hand.
  • 4. Original Uses • Demonstrate how to work with VIVO's linked data • Create org charts automatically for each institution • Create poster sized drawings for marketing purposes
  • 5. Program Design
  • 6. Art vs Science • More than 60% of my time on the project has been spent drawing graphs. • Over 100 graphs have been created. • Drawing graphs with 500+ nodes and including labels is extremely difficult.
  • 7. First Graph • Extends several feet in both directions • This first result was so bad I nearly scrapped the whole project...
  • 8. Evolution
  • 9. Evolution
  • 10. Evolution
  • 11. Evolution
  • 12. Immediate Impact • The original picture generated substantial interest in the program. • Showed that writing interesting 3rd party applications on the VIVO platform is possible. • Many problems including missing, misplaced, and duplicated data have been uncovered by the crawler.
  • 13. Finding all UF organizations • Over 100 external organizations were added to VIVO during CV entry of the showcase departments. • SPARQL cannot do recursive queries, so we did not have a tool to automatically find all sub-organizations of UF. • Extended the ontology locally with a rootOrganization data property to mark organizations as children of UF.
  • 14. Finding Data Problems • Looking at graphs generated by the program has uncovered many problems in our data, including missing, misplaced, and duplicated records. • We can understand the organizational structure much faster by looking at the graph rather than manually following the links from one organization to another.
  • 15. Extending to People • Plan to show the relationship between people and their affiliations with departments, centers and institutes. • Need to import data to show the heads of departments. • Finding the right representation will be challenging because UF's VVIO will include close to 30,000 people by the end of the grant.
  • 16. Interactive Graph Demo • Demo available at http://qa.vivo.ufl.edu/ infovis/demo.html • Created with JavaScript InfoVis Toolkit (http://thejit.org)
  • 17. Contact Information • Alex Rockwell (alexhr@ufl.edu) • Source code available at github.com/arockwell/vivo_org_chart

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