Search (7 results, page 1 of 1)

Twidale, M.B.; Nichols, D.M.: Computer supported cooperative work in information search and retrieval (1999) 0.19

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Twidale, M.B.; Nichols, D.M.: Collaborative browsing and visualization of the search process (1996) 0.01
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Abstract

We describe how to support the process of collaborative browsing and how to integrate support for the social aspects of information searching activities into information systems and particularly their interfaces. The use of library resources is often stereotyped as a solitary activity. However, informal observations indicate significant collaboration between users despite the fact that existing systems fail to support this. We describe the Ariadne system which does attempt to support collaboration by providing a visualization of the search process. Storage of search histories as digital object allows them to be manipulated and communicated. An explicit representation of a search history supports discussion of search strategies and concepts by explicit pointing to prior activities even when one of the participants may be a novice lacking the appropriate vocabulary. Several different types of activity, synchronous and asynchronous, remote and co-located, can be supported by search process re-use. We outline some of the issues of privacy concerned with the storage of users' searches
Stvilia, B.; Twidale, M.B.; Smith, L.C.; Gasser, L.: Information quality work organization in wikipedia (2008) 0.01
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Abstract

The classic problem within the information quality (IQ) research and practice community has been the problem of defining IQ. It has been found repeatedly that IQ is context sensitive and cannot be described, measured, and assured with a single model. There is a need for empirical case studies of IQ work in different systems to develop a systematic knowledge that can then inform and guide the construction of context-specific IQ models. This article analyzes the organization of IQ assurance work in a large-scale, open, collaborative encyclopedia - Wikipedia. What is special about Wikipedia as a resource is that the quality discussions and processes are strongly connected to the data itself and are accessible to the general public. This openness makes it particularly easy for researchers to study a particular kind of collaborative work that is highly distributed and that has a particularly substantial focus, not just on error detection but also on error correction. We believe that the study of those evolving debates and processes and of the IQ assurance model as a whole has useful implications for the improvement of quality in other more conventional databases.
Twidale, M.B.; Nichols, D.M.; Paice, C.D.: Browsing a collaborative process (1997) 0.01
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Abstract

Collaboration is an important aspect of searching online information retrieval systems that requires explicit computerized support. Surveys a number of systems offering varied approaches to supporting collaboration and applies a strucutre for analysing the various aspect of collaboration. The dominant form of collaboration in digital libraries is likely to be remote and asynchronous. Collaborative work in the digital library requires that both the search product and the search process can be captured and communicated. Introduces the ARIADNE system as an example of computerized support for collaboration between bowsers

Twidale, M.B.; Nichols, D.M.: Collaborative information retrieval (2009) 0.01

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Abstract: Collaborative information retrieval (CIR) encompasses the many varied social approaches to information seeking. Although some information retrieval systems have given an impression of individual access to resources, there is a growing realization that much information work is fundamentally collaborative in nature. We highlight key points in the recent history of CIR, particularly the difference between explicit and implicit collaboration.

Crabtree, A.; Nichols, D.M.; O'Brien, J.; Rouncefield, M.; Twidale, M.B.: Ethnomethodologically informed ethnography and information system design (2000) 0.01
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Abstract

This paper describes ethnomethodologically informed ethnography (EM) as a methodology for information science research, illustrating the approach with the results of a study in a university library. We elucidate major differences between the practical orientation of EM and theoretical orientation of other ethnographic approaches in information science research. We address ways in which EM may be used to inform systems design and consider the issues that arise in coordinating the results of this research with the needs of information systems designers. We outline out approach to the 'ethnographically informaed' development of information systems in addressing some of the major problems of interdisciplinary work between system designers and EM researchers
Nichols, D.M.; Paynter, G.W.; Chan, C.-H.; Bainbridge, D.; McKay, D.; Twidale, M.B.; Blandford, A.: Experiences in deploying metadata analysis tools for institutional repositories (2009) 0.00
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Abstract

Current institutional repository software provides few tools to help metadata librarians understand and analyse their collections. In this paper, we compare and contrast metadata analysis tools that were developed simultaneously, but independently, at two New Zealand institutions during a period of national investment in research repositories: the Metadata Analysis Tool (MAT) at The University of Waikato, and the Kiwi Research Information Service (KRIS) at the National Library of New Zealand. The tools have many similarities: they are convenient, online, on-demand services that harvest metadata using OAI-PMH, they were developed in response to feedback from repository administrators, and they both help pinpoint specific metadata errors as well as generating summary statistics. They also have significant differences: one is a dedicated tool while the other is part of a wider access tool; one gives a holistic view of the metadata while the other looks for specific problems; one seeks patterns in the data values while the other checks that those values conform to metadata standards. Both tools work in a complementary manner to existing web-based administration tools. We have observed that discovery and correction of metadata errors can be quickly achieved by switching web browser views from the analysis tool to the repository interface, and back. We summarise the findings from both tools' deployment into a checklist of requirements for metadata analysis tools.

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