Investigating and modeling metadata use to support information architecture development in the statistical knowledge network

Abstract

Metadata and an appropriate metadata model are nontrivial components of information architecture conceptualization and implementation, particularly when disparate and dispersed systems are integrated. Metadata availability can enhance retrieval processes, improve information organization and navigation, and support management of digital objects. To support these activities efficiently, metadata need to be modeled appropriately for the tasks. The authors' work focuses on how to understand and model metadata requirements to support the work of end users of an integrative statistical knowledge network (SKN). They report on a series of user studies. These studies provide an understanding of metadata elements necessary for a variety of user-oriented tasks, related business rules associated with the use of these elements, and their relationship to other perspectives on metadata model development. This work demonstrates the importance of the user perspective in this type of design activity and provides a set of strategies by which the results of user studies can be systematically utilized to support that design.

Toward a document‐centered ontological theory for information architecture in corporations

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Ibero-American Systems for the Dissemination of Scholarly Journals: A Contribution to Public Knowledge Worldwide

“…Metadata are known to facilitate the retrieval of texts, improve the organization of the information, and support the administration of digital objects (Hert, Denn, Gillman, Sun Oh, Pattwell, & Hernández, 2007). Four levels were reviewed to explore the existence of metadata, as shown in Table 6.…”

Adjustable properties of visual representations: Improving the quality of human‐information interaction

“…In a similar manner, the information systems and information science communities have long recognized and emphasized the importance of metadata (i.e., an ontological aspect of the domain) in conceptualization, design, and evaluation and in scientific discovery and communication. For example, Hert, Denn, Gillman, Oh, Pattuelli, and Hernández () stress the integral role of metadata in conceptualization and design of information systems. While examining the importance of metadata in scientific communication and discovery, Willis, Greenberg, and White () argue that discipline‐specific metadata schemes have contributed to establishing artificial barriers to data discovery and reuse across disciplines, and, furthermore, such schemes interfere with interdisciplinary scientific progress.…”