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Date

1. 3.2008 12:42:22

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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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Isbn

0-262-03228-7

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Abstract

The entries, in alphabetical order, cover people, organizations, and technology, including terms and their concepts as having become known up to April 1993. The dictionary contains very short and very long entries, some of them are repeated in different combinations, such as 'Artificial intelligence (AI)' which is combines in separate entries with - expert systems - history - inference - information retrieval applications - knowledge bases - natural language - shells and chaining - software and hardware trends - vision systems. There is no entry for 'index', however many for 'indexing' (7 columns for the concept as such) and combinations, such as Indexing - automatic, - coordinate indexing, - online systems, - system performance, exhaustivity and specifity, - system performance, recall and prescision, - thesauri. Some 5.000 terms, including abbreviations are related to their concepts and are explained and described

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Date

7. 3.2008 15:56:34