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Title
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The F-measure for research priority
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Author
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Abstract
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| Purpose In this contribution we continue our investigations related to the activity index (AI) and its formal analogs. We try to replace the AI by an indicator which is better suited for policy applications. Design/methodology/approach We point out that fluctuations in the value of the AI for a given country and domain are never the result of that countrys policy with respect to that domain alone because there are exogenous factors at play. For this reason we introduce the F-measure. This F-measure is nothing but the harmonic mean of the countrys share in the worlds publication output in the given domain and the given domains share in the countrys publication output. Findings The F-measure does not suffer from the problems the AI does. Research limitations The indicator is not yet fully tested in real cases. R&D policy management In policy considerations, the AI should better be replaced by the F-measure as this measure can better show the results of science policy measures (which the AI cannot as it depends on exogenous factors). Originality/value We provide an original solution for a problem that is not fully realized by policy makers. |
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Language
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English
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Source (journal)
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Journal of Data and Information Science. - [S.l.]
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Publication
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[S.l.]
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Chinese Academy of Sciences
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2018
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ISSN
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2096-157X
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DOI
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10.2478/JDIS-2018-0001
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Volume/pages
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3
:1
(2018)
, p. 1-18
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ISI
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000463261100001
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Full text (Publisher's DOI)
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Full text (open access)
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