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Borgman, C.L.: Performance effects of a user's mental model of an information retrieval system (1983)
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Borgman, C.L.: ¬The user's mental model of an information retrieval system : an experiment on a prototype online catalogue (1986)
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Pepe, A.; Mayernik, M.; Borgman, C.L.; Van de Sompel, H.: From artifacts to aggregations : modeling scientific life cycles on the semantic Web (2010)
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- Abstract
- 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.
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Borgman, C.L.; Wofford, M.F.; Golshan, M.S.; Darch, P.T.: Collaborative qualitative research at scale : reflections on 20 years of acquiring global data and making data global (2021)
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- Abstract
- A 5-year project to study scientific data uses in geography, starting in 1999, evolved into 20 years of research on data practices in sensor networks, environmental sciences, biology, seismology, undersea science, biomedicine, astronomy, and other fields. By emulating the "team science" approaches of the scientists studied, the UCLA Center for Knowledge Infrastructures accumulated a comprehensive collection of qualitative data about how scientists generate, manage, use, and reuse data across domains. Building upon Paul N. Edwards's model of "making global data"-collecting signals via consistent methods, technologies, and policies-to "make data global"-comparing and integrating those data, the research team has managed and exploited these data as a collaborative resource. This article reflects on the social, technical, organizational, economic, and policy challenges the team has encountered in creating new knowledge from data old and new. We reflect on continuity over generations of students and staff, transitions between grants, transfer of legacy data between software tools, research methods, and the role of professional data managers in the social sciences.
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Borgman, C.L.: Will the global information infrastructure be the library of the future? : Central and Eastern Europe as a case example (1996)
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- Source
- IFLA journal. 22(1996) no.2, S.121-127
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Borgman, C.L.: ¬The conundrum of sharing research data (2012)
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- Date
- 11. 6.2012 15:22:29
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Borgman, C.L.; Scharnhorst, A.; Golshan, M.S.: Digital data archives as knowledge infrastructures : mediating data sharing and reuse (2019)
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- Date
- 7. 7.2019 11:58:22
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Borgman, C.L.: Why are online catalogs still hard to use? (1996)
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- Abstract
- We return to arguments made 10 years ago that online catalogs are difficult to use because their design does not incorporate sufficient understanding of searching behavior. The earlier article examined studies of information retrieval system searching for their implications for online catalog design; this article examines the implications of card catalog design for online catalogs. With this analysis, we hope to contribute to a better understanding of user behavior and to lay to rest the card catalog design model for online catalogs. We discuss the problems with query matching systems, which were designed for skilled search intermediaries rather than end-users, and the knowledge and skills they require in the information-seeking process, illustrated with examples of searching card and online catalogs. Searching requires conceptual knowledge of the information retrieval process - translating an information need into a searchable query; semantic knowledge of how to implement a query in a given system - the how and when to use system features; and technical skills in executing the query - basic computing skills and the syntax of entering queries as specific search statements. In the short term, we can help make online catalogs easier to use through improved training and documentation that is based on information-seeking bahavior, with the caveat that good training is not a substitute for good system design. Our long term goal should be to design intuitive systems that require a minimum of instruction. Given the complexity of the information retrieval problem and the limited capabilities of today's systems, we are far from achieving that goal. If libraries are to provide primary information services for the networked world, they need to put research results on the information-seeking process into practice in designing the next generation of online public access information retrieval systems
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Borgman, C.L.; Smart, L.J.; Millwood, K.A.; Finley, J.R.; Champeny, L.; Gilliland, A.J.; Leazer, G.H.: Comparing faculty information seeking in teaching and research : implications for the design of digital libraries (2005)
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- Date
- 3. 6.2005 20:40:22
