Journal of the American Society for Information Science & Technology. Dec2002, Vol. 53 Issue 14, p1192. 18p. 5 charts, 2 diagrams, 4 graphs.
GOVERNMENT information, WEB sites, USER interfaces (Computer systems), DESIGN, INFORMATION technology, and WORLD Wide Web
The data systems, policies and procedures, corporate culture, and public face of an agency or institution make up its organizational interface. This case study describes how user interfaces for the Bureau of Labor Statistics web site evolved over a 5-year period along with the larger organizational interface and how this co-evolution has influenced the institution itself. Interviews with BLS staff and transection log analysis are the loci in this analysis that also included user informationseeking studies end user interface prototyping and testing. The results are organized into a model of organizational interface change and related to the information life cycle. [ABSTRACT FROM AUTHOR]
Pepe, Alberto, Mayernik, Matthew, Borgman, Christine L., and Van de Sompel, Herbert
Journal of the American Society for Information Science & Technology. Mar2010, Vol. 61 Issue 3, p567-582. 16p. 11 Diagrams.
Semantic Web, Semantic integration (Computer systems), Semantic networks (Information theory), Expert systems (Computer science), Antiquities, Research institutes, Engineering, Embedded computer systems, and Environmental sciences
In the process of scientific research, many information objects are generated, all of which may remain valuable indefinitely. However, artifacts such as instrument data and associated calibration information may have little value in isolation; their meaning is derived from their relationships to each other. Individual artifacts are best represented as components of a life cycle that is specific to a scientific research domain or project. Current cataloging practices do not describe objects at a sufficient level of granularity nor do they offer the globally persistent identifiers necessary to discover and manage scholarly products with World Wide Web standards. The Open Archives Initiative's Object Reuse and Exchange data model (OAI-ORE) meets these requirements. We demonstrate a conceptual implementation of OAI-ORE to represent the scientific life cycles of embedded networked sensor applications in seismology and environmental sciences. By establishing relationships between publications, data, and contextual research information, we illustrate how to obtain a richer and more realistic view of scientific practices. That view can facilitate new forms of scientific research and learning. Our analysis is framed by studies of scientific practices in a large, multidisciplinary, multi-university science and engineering research center, the Center for Embedded Networked Sensing. [ABSTRACT FROM AUTHOR]
Journal of the American Society for Information Science & Technology. Jan2008, Vol. 59 Issue 1, p136-149. 14p. 2 Diagrams, 7 Charts, 5 Graphs.
Impact factor (Citation analysis), Citation analysis, Scholarly periodicals, Scholarly publishing, Electronic information resources, Demographic surveys, Library circulation analysis, Web analytics, Downloading of data, Communication in learning & scholarship, and Statistical sampling
There exist ample demonstrations that indicators of scholarly impact analogous to the citation-based ISI Impact Factor can be derived from usage data; however, so far, usage can practically be recorded only at the level of distinct information services. This leads to community-specific assessments of scholarly impact that are difficult to generalize to the global scholarly community. In contrast, the ISI Impact Factor is based on citation data and thereby represents the global community of scholarly authors. The objective of this study is to examine the effects of community characteristics on assessments of scholarly impact from usage. We define a journal Usage Impact Factor that mimics the definition of the Thomson Scientific ISI Impact Factor. Usage Impact Factor rankings are calculated on the basis of a large-scale usage dataset recorded by the linking servers of the California State University system from 2003 to 2005. The resulting journal rankings are then compared to the Thomson Scientific ISI Impact Factor that is used as a reference indicator of general impact. Our results indicate that the particular scientific and demographic characteristics of a discipline have a strong effect on resulting usage-based assessments of scholarly impact. In particular, we observed that as the number of graduate students and faculty increases in a particular discipline, Usage Impact Factor rankings will converge more strongly with the ISI Impact Factor. [ABSTRACT FROM AUTHOR]