Notes
Slide Show
Outline
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BLS Case Study
  • Gary Marchionini
  • INLS 357
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Goal: Improve BLS Web-based Dissemination: 1996-2003
  • 1996-7 Needs assessment (w/Carol Hert, Anita Komlodi)
    • Interviews (in house, external)
    • Email content analysis
    • Transactions and query log analysis
    • User-task taxonomy
  • 1997-8 UI mockups based on taxonomy, continued needs assessment (Anita Komlodi)
  • 1998-9 Relation Browser prototype and usability study (Ben Brunk, Anita Komlodi)
  • 1999-2000 Relation Browser field test; RAVE extension (Ben Brunk)
  • 2000-01 Replication of needs assessments and extensions to RAVE (Ben Brunk)
  • 2001-03 Evolution of RB database (Ben Brunk, Junliang Zhang)
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Lab Stat Help Desk Requests
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T-Log analysis (Raw log)
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Web requests 1995-2000
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Rates of Increase: BLS & LoC
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Session Length Oct. 2000
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Evolution of BLS website
  • Minimize clicks to target
  • Treasures to the surface
  • User centered vocabulary
  • 25K pages and content management
  • Academic-Agency partnership model
  • See Interactions (2003) paper: Digital Government Information Services: The Bureau of Labor Statistics Case. http://ils.unc.edu/~march/interactions_paper03.pdf
  • See JASIST (2002) paper: Co-evolution of user and organizational interfaces: A longitudinal case study of WWW dissemination of national statistics. http://ils.unc.edu/~march/jasist_BLS_submit.pdf



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BLS Jan 1997
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BLS Dec 1998
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April 99
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February 2000
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Dec 2000
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Nov 2001
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September 2003
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Information Life Cycle with Feedback Channels
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Evolution of Relation Browser
  • See  http://squash.ils.unc.edu/rave/
  • See Towards a General Relation Browser: A GUI for Information Architects http://jodi.ecs.soton.ac.uk/Articles/v04/i01/Marchionini/


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Relation Browser Version 2.
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Relation Browser Version 3
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Relation Browser (RAVE) after clicking on Office/Business
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Relation Browser (Rave) with results after clicking on Perl
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RB+ EIA data, renewables
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EIA renewables and usage results
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EIA renewables and usage with ‘wind’ text search
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Current Work
  • Continue to generalize RB
    • Integrate browse and search
    • Database mappings
  • Develop automatic techniques for acquiring data
  • Develop automatic techniques for new ways to slice and dice and provide alternative views