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Borgman, C.L.: ¬The conundrum of sharing research data (2012)
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- Abstract
- Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice.
- Date
- 11. 6.2012 15:22:29
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Borgman, C.L.; Hirsh, S.G.; Hiller, J.: Rethinking online monitoring methods for information retrieval systems : from search product to search process (1996)
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- Abstract
- Searching information retrieval systems is a highly interactive, iterative process that cannot be understood simply by comparing the output of a search session (the 'search product') to a query stated in advance. In this article, we examine evaluation goals and methods for studying information retrieval behavior, drawing examples from our own research and that of others. We limit our review to research that employs online monitoring, also known as transaction log analysis. Online monitoring is one of few methods that can capture detailed data on the search process at a reasonable cost; these data can be used to build quantitative models or to support qualitative interpretations of quatitative results. Monitoring is a data collection technique rather than a research design, and can be employed in experimental of field studies, whether alone or combined with other data collection methods. Based on the the research questions of interest, the researcher must determine what variables to collect from each data source, which to treat as independent varaibles to manipulate, and which to treat as dependent variables to observe effects. Studies of searching behavior often treat search task and searcher characteristics as independent variables and may manipulate other independent variables specific to the research questions addressed. Search outcomes, time, and search paths frequently are treated as dependent variables. We discuss each of these sets of variables, illustrating them with sample results from the literature and from our own research. Our examples are drawn from the Science Library Catalog project, a 7-year study of children's searching behavior on an experimental retrieval system. We close with a brief discussion of the implications of these results for the design of information retrieval systems
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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.: ¬The invisible library : paradox of the global information infrastructure (2003)
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- Abstract
- Libraries are an essential component of a nation's information infrastructure, yet often they are invisible to their users and other stakeholders. In the context of this special issue, the paper presents four challenges faced by libraries and proposes research designs to address each of them. The four challenges involve: 1. invisible infrastructure, 2. content and collections, 3. preservation and access, and 4. institutional boundaries. I propose a mixture of research methods that includes surveys, case studies, documentary analyses, and policy analyses. Only with a better understanding of these challenges can libraries find their best fit in the information infrastructure of our networked world.
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Hirsh, S.G.; Borgman, C.L.: Comparing children's use of browsing and keyword searching on the Science Library catalog (1995)
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- Abstract
- Reports on a continuing project to study children's search behaviour on an automated library catalogue designed for children, called the Science Library Catalog. This experiment exployed an advanced version of the system which combines the browsing features of earlier versions with keyword capabilities that do not require correct spelling, searching alphabetical lists, or using Boolean logic. 5th grade children are able to use browsing and keyword searchs trategies successfully, relying on browsing to familiarize themselves with the system and graduating to keyword methods after they are comfortable with the system. Children's level of science domian knowledge was found to influence both their success in finding books and their search behaviour, with children with high domain knowledge finding books more successfully and utilizing more keyword and mixed search methgods. Results contribute to understanding of the factors affecting children's search behaviour
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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.; 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.; 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
