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Drawing Organization Charts Using VIVO
             by Alex Rockwell
Introduction
• Purpose

• Program Design

• Use Cases

• Extending to People
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.
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
Program Design
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.
First Graph




• Extends several feet in both directions

• This first result was so bad I nearly scrapped
  the whole project...
Evolution
Evolution
Evolution
Evolution
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.
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.
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.
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.
Interactive Graph Demo
• Demo available at http://qa.vivo.ufl.edu/
  infovis/demo.html

• Created with JavaScript InfoVis Toolkit
  (http://thejit.org)
Contact Information
• Alex Rockwell (alexhr@ufl.edu)

• Source code available at
  github.com/arockwell/vivo_org_chart

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Drawing organization Charts in VIVO

  • 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
  • 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...
  • 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