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Abstract

Libraries pay considerable attention to the creation, preservation, and transformation of descriptive metadata in both MARC and non-MARC formats. Little evidence suggests that they devote as much time, energy, and financial resources to the ongoing maintenance of non-MARC metadata, especially with regard to updating and editing existing descriptive content, as they do to maintenance of such information in the MARC-based online public access catalog. In this paper, the authors introduce a model, derived loosely from J. A. Zachman's framework for information systems architecture, with which libraries can identify and inventory components of catalog or metadata maintenance and plan interdepartmental, even interinstitutional, workflows. The model draws on the notion that the expertise and skills that have long been the hallmark for the maintenance of libraries' catalog data can and should be parlayed towards metadata maintenance in a broader set of information delivery systems.

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Source

Information technology and libraries. 10(1991), S.201-211

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Abstract

Metadata and information technology staff in libraries that are building digital collections typically extract and manipulate MARC metadata sets to provide access to digital content via non-MARC schemes. Metadata processing in these libraries involves defining the relationships between metadata schemes, moving metadata between schemes, and coordinating the intellectual activity and physical resources required to create and manipulate metadata. Actively managing the non-MARC metadata resources used to build digital collections is something most of these libraries have only begun to do. This article proposes strategies for managing MARC metadata repurposing efforts as the first step in a coordinated approach to library metadata management. Guided by lessons learned from Cornell University library mapping and transformation activities, the authors apply the literature of data resource management to library metadata management and propose a model for managing MARC metadata repurposing processes through the implementation of a metadata management design.