.go v Toward Digital Government: The Case of Government Statistics Gary Marchionini University of North Carolina at Chapel Hill www.ils.unc.edu/govstat NSF Grants EIA 0131824 and EIA 0129978 Principal Investigators: Gary Marchionini, Stephanie Haas, Ben Shneiderman, Catherine Plaisant, and Carol Hert
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Toward Digital Government: The Case of Government Statistics
Gary MarchioniniUniversity of North Carolina at Chapel Hill
www.ils.unc.edu/govstat
NSF Grants EIA 0131824 and EIA 0129978 Principal Investigators: Gary Marchionini, Stephanie Haas, Ben
Shneiderman, Catherine Plaisant, and Carol Hert
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Digital Government: Leveraging IT
• Government information dissemination– Websites– Other publications (no mass emailings yet)
Script Guidelines• Base the script on a live demonstration (never on a written
description) – Focus on tasks
(not tours of widgets or conceptual overviews) – Act out the interaction (with minimum description) then describe results
in context of task– Start with a tour of main screen components
(orient and introduce vocabulary) 5-10 sec. max – Plan a linear sequences made of
very short autonomous chunks (15-60 sec.) • Map the chunks to existing online documentation • Show text title at beginning of each chunk • Carefully synchronize voice and visual (hard when alone) • Provide duration and file size for individual chunk
.govInteractive Glossary Development
Tools• Provide foundation for content
development
• Separate content development from presentation development
• Reduce overall development time
• Maximize reuse of existing elements
• Create multiple presentations from a single content development effort
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Animation Template
.govContent
FoundationTemplate(SIG)
Questioninitial
motivation
Answeroverview, definition
Processexplanation,
equationExample
Resultstatistic, answer
Reviewsummary,
interpretation
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Animation Template
• Consistent display and interaction for all animations
• Presents animation and explanatory text simultaneously
• Navigate (forward and back) through animation segments
• Complete review of text at any time
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Animation Template
• Three pieces: text, animations, template
• Text is tagged with content section tags in a separate text file
• Animation consists of segments in individual animation files
• Text and animation segments coordinated by placement in template
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ontology
Semantic level
•Classes
•Relationships
•Constraint rules
DTD/XML Schema Structural level
•Elements
•Attributes
•Datatypes
SKN
• Ontology
• DTD / XML Schema
• Interface Tools
• Statistical Interactive Glossary (SIG)
Ontology Applications
Knowledge organization
Content and terminology control
Data integration
Query support
Automatic classification support
Reasoning mechanism
Others
modeling
implementation
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unit
agedunit
<anlyUnit>aged unit</anlyUnit><universe>married couples living together,with husband or wife aged 65 or older</universe>
age
SSA
household
Domain knowledge
Operational knowledge
estimate
poverty estimate
poverty
benefit
Census Bureau FIFARS
earning
salary
wage
income
family
distribution
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Project DTD
• Investigate DDI and ISO 11179
• Leverage DDI and data cubes
• Markup a set of objects– Tables– Reports/press releases
• Use markup to build added value search (find what you need) and help (understand what you find) support into interfaces
.govThe Basic Structure
entDscr_1:description of an entity within the
marked up document
docDscr: description of the markup-what is being marked-up, who marked it up, etc.
entDscr_2:description of an entity within the
marked up document
varDscr_1: description of each variable within an entity, study group or document
stdygrpDscr: describes the “group” to which an entity or document belongs such as a survey program
nCubeDscr: used when entity is an aggregated table
fileDscr: descripes physical file structures for nCubes
varDscr_2: description of each variable within an entity, study group or document
.govOne Example of How the DTD
Helps
The DTD can help bring the “expert knowledge” to the less expert user and bring relevant information together by enabling searching via variables as well as subjects/keywords