Designing a metadata-driven visual information browser for federal statistics

Authors:
Bill Kules;Ben Shneiderman
Affiliations:
University of Maryland at College Park, College Park, MD;University of Maryland at College Park, College Park, MD
Venue:
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Year:
2003

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Abstract

When looking for federal statistics, finding the right table, chart or report can be a daunting task for anyone not thoroughly familiar with the federal statistical system. Search tools help, but differing terminologies within the statistical agencies and a lack of familiarity of terms by information seekers limit their effectiveness. The FedStats Browser is a design for visually browsing federal agency statistical products and publications, using techniques that allow users to reformulate queries and iteratively refine results via simple, reversible actions with immediate feedback. This paper also discusses the characteristics of metadata needed for such a browser and the challenges inherent in acquiring that metadata.