An Operational Model for Library Metadata Maintenance
DOI:
https://doi.org/10.5860/lrts.52n1.54Abstract
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.
References
Ruth A. Bogan, Bradford Lee Eden Ed., '“Redesign of Database Management at Rutgers University Libraries,”' Innovative Redesign and Reorganization of Library Technical Services: Paths for the Future and Case Studies (Westport, Conn.: Libraries Unlimited 2004): 161-77nIbid., 176nIbid., 176nMarion T. Reid, David Fiste, '“Catalog Maintenance: Manual to Machine,”' RTSD Newsletter 11 no. 1 (1986): 4-6nIbid., 4–5nIbid., 5nElaine L. Westbrooks, '“Remarks on Metadata Management,”' OCLC Systems & Services 21 no. 1 (2005): 6nJ. A. Zachman, '“A Framework for Information Systems Architecture,”' IBM Systems Journal 26 no. 3 (1987): 276-92 For examples of adaptations of Zachman’s framework, see R. Evernden, “The Information FrameWork,”
IBM Systems Journal
, no. 1 (1996): 37–68; Edmund F. Vail III, “Causal Architecture: Bringing the Zachman Framework to Life,”
Information Systems Management
, no. 3 (2002): 8–18; and Chun-Che Huang and Chia-Ming Kuo, “The Transformation and Search of Semi-Structured Knowledge in Organizations,”
Journal of Knowledge Management
, no. 4 (2003): 106–23nSee, for example, the hypothetical case involving the “Oz Car Registration Authority (OCRA)” in J.F. Sowa and J.A. Zachman, “Extending and Formalizing the Framework for Information Systems Architecture,”
IBM Systems Journal
, no. 3 (1992): 590–616nFor more on metadata maintenance issues surrounding the repurposing of MARC metadata for describing digital collections, see Martin Kurth, David Ruddy, and Nathan Rupp, “Repurposing MARC Metadata: Using Digital Project Experience to Develop a Metadata Management Design,”
Library Hi Tech
, no. 2 (2004): 153–65nThe authors proposed a data model for a Dublin Core metadata maintenance application profile in Martin Kurth and Jim LeBlanc, “Toward a Collection-Based Metadata Maintenance Model,” in
Metadata for Knowledge and Learning: DC-2006, Proceedings of the International Conference on Dublin Core and Metadata Applications
, ed. Myriam Cruz Calvario, 31–41 (Colima: Universidad de Colima, 2006); also available in
arXiv
http://arxiv.org/abs/cs/0605022v1nIbid., 38–40. Commentary on relevant object-centered registries include Christophe Blanchi and Jason Petrone, “Distributed Interoperable Metadata Registry,”
D-Lib Magazine
, no. 12 (2001), www.dlib.org/dlib/december01/blanchi/12blanchi.htmln
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