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  • × author_ss:"Borgman, C.L."
  1. Borgman, C.L.: Will the global information infrastructure be the library of the future? : Central and Eastern Europe as a case example (1996) 0.04
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    Abstract
    Addresses the technical and policy issues in the development of an international infrastructure for the flow of information by studying the emerging national information infrastructures in 6 post communist countries in Central and Eastern Europe. The study consisted of interviews with over 300 library managers, computing network administrators, government policy makers and other information professionals conducted in 1993 and 1994 in Croatia, the Czech Republic, Hungary, Poland, Slovakia and Slovenia, plus a 1994 mail survey of research libraries in these countries. After presenting the principles under which the G-7 leading industrialized countries have agreed to collaborate on constructing a Global Information Infrastructure (GII), presents examples from the survey on how the GII pronciples might be addressed. Results of the longitudinal study were reported at greater length in the Proceedings of the 58th Meeting of the ASIS, 1995, S.27-34
    Source
    IFLA journal. 22(1996) no.2, S.121-127
  2. Borgman, C.L.; Scharnhorst, A.; Golshan, M.S.: Digital data archives as knowledge infrastructures : mediating data sharing and reuse (2019) 0.03
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    Date
    7. 7.2019 11:58:22
  3. Pepe, A.; Mayernik, M.; Borgman, C.L.; Van de Sompel, H.: From artifacts to aggregations : modeling scientific life cycles on the semantic Web (2010) 0.03
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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.
  4. Borgman, C.L.: End user behavior on the Ohio State University Libraries' online catalog : a computer monitoring study (1983) 0.03
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    Series
    OCLC/OPR/RR83/7
  5. Beaulieu, M.; Borgman, C.L.: ¬A new era for OPAC research : introduction to special topic issue on current research in Online Public Access Systems (1996) 0.02
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    Source
    Journal of the American Society for Information Science. 47(1996) no.7, S.491-492
  6. Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.02
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    Abstract
    "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
  7. Borgman, C.L.; Hirsh, S.G.; Hiller, J.: Rethinking online monitoring methods for information retrieval systems : from search product to search process (1996) 0.01
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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
    Source
    Journal of the American Society for Information Science. 47(1996) no.7, S.568-583
  8. Sullivan, M.V.; Borgman, C.L.: Bibliographic searching by end-users and intermediaries : front-end software vs native DIALOG commands (1988) 0.01
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    Date
    7. 1.1996 23:35:06
  9. Borgman, C.L.: ¬The conundrum of sharing research data (2012) 0.01
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    Date
    11. 6.2012 15:22:29
  10. 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) 0.01
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    Date
    3. 6.2005 20:40:22
  11. Borgman, C.L.: Why are online catalogs still hard to use? (1996) 0.01
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    Source
    Journal of the American Society for Information Science. 47(1996) no.7, S.493-503