Abstract
As part of an NSF-funded effort to work toward a national statistical knowledge network, we have been working to determine what elements of statistical metadata are most crucial for end users as they attempt to find and use data from US Federal statistical websites. We report here preliminary findings from a study conducted to compare how experts and end users interact with statistical data and discuss the implications of these findings on the construction of architectures and interfaces designed to integrate statistical data across agencies.
Author information
Sheila Denn
School of Information and Library Science
University of North Carolina at Chapel Hill
USA,
Stephanie W. Haas
School of Information and Library Science
University of North Carolina at Chapel Hill
USA,
Carol A. Hert
School of Information Studies
Syracuse University
USA,
Cite this article
Denn, S., Haas, S., & Hert, C. (2003). Statistical Metadata Needs during Integration Tasks. International Conference on Dublin Core and Metadata Applications, 2003. https://doi.org/10.23106/dcmi.952107362
DOI : 10.23106/dcmi.952107362
Published
Metadata and citations of this article is published under the Creative Commons Zero
Universal Public Domain Dedication (CC0), allowing unrestricted reuse. Anyone can freely
use the metadata from DCPapers articles for any purpose without limitations.
This article full-text is published under the Creative Commons Attribution 4.0
International License (CC BY 4.0). This license allows use, sharing, adaptation,
distribution, and reproduction in any medium or format, provided that appropriate credit
is given to the original author(s) and the source is cited.