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The Flemish performance-based research funding System: A Unique Variant of the Norwegian Model

Journal of Data and Information Science 2018年第4期3卷 45-60页

作者： Tim C.E.Engels Raf Guns Centre for R&D Monitoring (ECOOM) Faculty of Social Science University of Antwerp

The BOF-key is the performance-based research funding system that is used in Flanders, Belgium. In this paper we describe the historical background of the system, its current design and organization, as well as its effects on the Flemish higher education landscape. The BOFkey in its current form relies on three bibliometric parameters: publications in Web of Science, citations in Web of Science, and publications in a comprehensive regional database for SSH publications. Taken together, the BOF-key forms a unique variant of the Norwegian model: while the system to a large extent relies on a commercial database, it avoids the problem of inadequate coverage of the SSH. Because the bibliometric parameters of the BOF-key are reused in other funding allocation schemes, their overall importance to the Flemish universities is substantial.

关键词： performance-based research funding systems Flanders(Belgium) Norwegian model Web of Science VABB-SHW

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Does Monetary Support Increase the Number of Scientific Papers？ An Interrupted Time Series Analysis

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Journal of Data and Information Science 2018年第1期3卷 19-38页

作者： Yasar Tonta Department of Information Management Faculty of Letters Hacettepe University 06800 Beytepe Ankara Turkey

Purpose： One of the main indicators of scientific production is the number of papers published in scholarly journals. Turkey ranks 18th place in the world based on the number of scholarly publications. The objective of this paper is to find out if the monetary support program initiated in 1993 by the Turkish Scientific and Technological research Council （TUBITAK） to incentivize researchers and increase the number, impact, and quality of international publications has been effective in doing ***/methodology/approach： We analyzed some 390,000 publications with Turkish affiliations listed in the Web of Science （WoS） database between 1976 and 2015 along with about 157,000 supported ones between 1997 and 2015. We used the interrupted time series （ITS） analysis technique （also known as ＂quasi-experimental time series analysis＂ or ＂intervention analysis＂） to test if TOBITAK＇s support program helped increase the number of publications. We defined ARIMA （1,1,0） model for ITS data and observed the impact of TOBiTAK＇s support program in 1994, 1997, and 2003 （after one, four and 10 years of its start, respectively）. The majority of publications （93%） were full papers （articles）, which were used as the experimental group while other types of contributions functioned as the control group. We also carried out a multiple regression ***： TUBITAK＇s support program has had negligible effect on the increase of the number of papers with Turkish affiliations. Yet, the number of other types of contributions continued to increase even though they were not well supported, suggesting that TUBITAK＇s support program is probably not the main factor causing the increase in the number of papers with Turkish affiliations. research limitations： Interrupted time series analysis shows if the ＂intervention＂ has had any significant effect on the dependent variable but it does not explain what caused the increase in the number of papers if it was not the intervention. Moreover, excep

关键词： performance-based research funding systems Publication subsidies Publicationsupport programs Interrupted time series analysis

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