Abstract
Using a commercially available visual graphical analysis tool, the National Science Digital Library (NSDL) has developed techniques to expedite evaluation of large batches of metadata. These techniques allow efficient and thorough review of large quantities of XML metadata, thus enabling the focus of limited resources on evaluation and manipulation tasks that are most important in our context. In the NSDL, metadata is evaluated for aggregation, but these techniques are applicable to any situation where batches of metadata need to be evaluated. This paper discusses the motivations for this approach and the techniques themselves.
Author information
Naomi Dushay
Cornell University
National Science Digital Library
USA,
Cite this article
Dushay, N., & Hillmann, D. (2003). Analyzing Metadata for Effective Use and Re-Use. International Conference on Dublin Core and Metadata Applications, 2003. https://doi.org/10.23106/dcmi.952107442
DOI : 10.23106/dcmi.952107442
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.