Details

Autor(en) / Beteiligte

• Hert, Carol A.
• Denn, Sheila O.
• Gillman, Daniel W.
• Oh, Jung Sun
• Pattuelli, Maria Cristina
• Hernández, Naybell

Titel

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

Ist Teil von

• Journal of the American Society for Information Science and Technology, 2007-07, Vol.58 (9), p.1267-1284

Ort / Verlag

Hoboken: Wiley Subscription Services, Inc., A Wiley Company

Erscheinungsjahr

2007

Quelle

EBSCOhost Business Source Ultimate

Beschreibungen/Notizen

• 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.