In July of 2001, with funding from the Andrew W. Mellon Foundation, the University of Illinois at Urbana-Champaign undertook a project to test the efficacy of using the Open Archives Initiative Protocol for Metadata Harvesting to construct a search and discovery service focused on information resources in the domain of cultural heritage. To date, the Illinois project has indexed over two million Dublin Core metadata records contributed by 38 metadata repositories in the museum, academic library, and digital library project communities. These records describe a mix of digital and analog primary content. Our analysis of these metadata records demonstrates wide divergence in descriptive metadata practices and the use and interpretation of Dublin Core metadata elements. Differences are particularly notable by community. This article provides an overview of the Illinois project, presents quantitative data about divergent metadata practices and element usage patterns, and details implications for metadata providers and harvesting services.

A focus of digital libraries, particularly since the advent of the Open Archives Initiative Protocol for Metadata Harvesting, is aggregating from multiple collections metadata describing digital content. However, the quality and interoperability of the metadata often prevents such aggregations from offering much more than very simple search and discovery services. Shareable metadata is metadata which can be understood and used outside of its local environment by aggregators to provide more advanced services. This

As an increasing number of digital library projects embrace the harvesting of item-level descriptive metadata, issues of description granularity and concerns about potential loss of context when harvesting item-level metadata take on greater significance. Collection-level description can provide valuable context for item-level metadata records harvested from disparate and heterogeneous providers. This paper describes an ongoing experiment using collection-level description in concert with item-level metadata to improve quality of search and discovery across an aggregation of metadata describing resources held by a consortium of large academic research libraries. We present details of approaches implemented so far and preliminary analyses of the potential utility of these approaches. The paper concludes with a brief discussion of related issues and future work plans.

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