The Role of Metadata in the Statistical Knowledge Network An Emerging Research Agenda

Metadata (data about data) is integral to many processes in the Statistical Knowledge Network (SKN). Recently, efforts such as the SemanticWeb and others express the importance of metadata in supporting integration of information across multiple sources. Critical challenges in building the SKN are i...

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Bibliographic Details
Published inSocial science computer review Vol. 22; no. 1; pp. 92 - 99
Main Authors Hert, Carol A., Denn, Sheila, Haas, Stephanie W.
Format Journal Article
LanguageEnglish
Published Thousand Oaks, CA SAGE Publications 01.04.2004
Sage
Subjects
Acquisitions
Architecture
Data
Digital
Government
Information Technology
Integrals
Internet
Knowledge
Marketing
Metadata
Networks
Sociology
Sociology of communication and mass media. Sociolinguistics
Sociology of knowledge and sociology of culture
Statistics
United States Of America
statistical knowledge network
user studies
statistical metadata
digital government
User
Information system
Government
Network
Data collection
Knowledge
Statistical Data
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Summary:Metadata (data about data) is integral to many processes in the Statistical Knowledge Network (SKN). Recently, efforts such as the SemanticWeb and others express the importance of metadata in supporting integration of information across multiple sources. Critical challenges in building the SKN are identifying what metadata is needed, and at what point in the cycle of production and use of statistical information it must be available, and establishing an architecture that supports metadata acquisition and use throughout the SKN. This article provides a research agenda in those areas, building on our currentwork in helping users to find the statistical information they need and understand what they find.
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ISSN:0894-4393
1552-8286
DOI:10.1177/0894439303259891