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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.

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Content

Inhalt: Scholars and scripts, spoors and scores / Blaise CroninHistory and evolution of (biblio)metrics / Nicola De Bellis -- The citation : from culture to infrastructure / Paul Wouters -- The data it is me! / Ronald E. Day -- The ethics of evaluative bibliometrics / Jonathan Furner -- Criteria for evaluating indicators / Yves Gingras -- Obliteration by incorporation / Katherine W. McCain -- A network approach to scholarly evaluation / Jevin D. West and Daril A. Vilhena -- Science visualization and discursive knowledge / Loet Leydesdorff -- Measuring interdisciplinarity / Vincent Larivière and Yves Gingras -- Bibliometric standards for evaluating research institutes in the natural sciences / Lutz Bornmann, Benjamin E. Bowman, Jonathan Bauer, Werner Marx, Hermann Schier and Margit Palzenberger -- Identifying and quantifying research strengths using market segmentation / Kevin W. Boyack and Richard Klavans -- Finding and recommending scholarly articles / Michael J. Kurtz and Edwin A. Henneken -- Altmetrics / Jason Priem -- Web impact measures for research assessment / Kayvan Kousha and Mike Thelwall -- Bibliographic references in Web 2.0 / Judit Bar-Illan, Hadas Shema and Mike Thelwall -- Readership metrics / Stefanie Haustein -- Evaluating the work of judges / Peter Hook -- Academic genealogy / Cassidy R. Sugimoto -- A publishing perspective on bibliometrics / Judith Kamalski, Andrew Plume and Mayur Amin -- Science metrics and science policy / Julia Lane, Mark Largent and Rebecca Rosen.

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Date

22. 1.2017 17:12:50

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Date

22. 3.2008 12:26:32

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Date

27.12.2008 11:22:36