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Titlebook: Handbook of Quantitative Science and Technology Research; The Use of Publicati Henk F. Moed,Wolfgang Glänzel,Ulrich Schmoch Book 2005 Sprin

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楼主: mentor
发表于 2025-3-27 00:16:22 | 显示全部楼层
this situation leads us to discuss Danish school leadership and research on school leadership in an international light. A major question is: what is gained and what is lost in international collaborations and comparisons?
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Marc Luwelad travelled widely through Britain over a period of 35 years, 1685–1720. His sharp observation, coupled with his wide reading, his knowledge of political and commercial matters and gift for reportage meant that he was uniquely qualified to present a general picture of Britain at a time of social and economic transition.
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Measuring Sciencessues of practical application of these ‘science maps’ are addressed. This contribution is concluded with general observations on current and near-future developments, including network-based approaches, necessary ‘next steps’ are formulated, and an answer is given to the question ‘Can science be measured?’
发表于 2025-3-27 13:55:02 | 显示全部楼层
Indicators for National Science and Technology Policyhe selection process. It seems not to be too difficult to argue for a ‘country friendly’ selection and corresponding weighting of indicators. Thus the use of scoreboards opens space for manipulation in the policymaking system. Further research is needed on alternative methods of calculation to prevent their misuse and abuse.
发表于 2025-3-27 20:56:29 | 显示全部楼层
Science on the Periphery: Bridging the Information Dividees in a way, as it forced scientists and librarians in the advanced countries to think of measures to overcome the ‘serials crisis’ and many of these measures can benefit developing country scientists. This paper looks at doing research in the developing world and how we can harness the new technologies to achieve information equity.
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The Use of Input Data in the Performance Analysis of R&D Systems data have to be combined. The methodologies for collecting input and output data have, however, been developed largely independently from each other. The resulting limitations on their use in performance indicators are discussed, and suggestions are formulated for a more integrated approach to construct input and output data.
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