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Uncovering fine-grained research excellence: The global research benchmarking system

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  • Haddawy, Peter
  • Hassan, Saeed-Ul
  • Abbey, Craig W.
  • Lee, Inn Beng

Abstract

Since few universities can afford to be excellent in all subject areas, university administrators face the difficult decision of selecting areas for strategic investment. While the past decade has seen a proliferation of university ranking systems, several aspects in the design of most ranking systems make them inappropriate to benchmark performance in a way that supports formulation of effective institutional research strategy. To support strategic decision making, universities require research benchmarking data that is sufficiently fine-grained to show variation among specific research areas and identify focused areas of excellence; is objective and verifiable; and provides meaningful comparisons across the diversity of national higher education environments. This paper describes the Global Research Benchmarking System (GRBS) which satisfies these requirements by providing fine-grained objective data to internationally benchmark university research performance in over 250 areas of Science and Technology. We provide analyses of research performance at country and university levels, using the diversity of indicators in GRBS to examine distributions of research quality in countries and universities as well as to contrast university research performance from volume and quality perspectives. A comparison of the GRBS results with those of the three predominant ranking systems shows how GRBS is able to identify pockets of excellence within universities that are overlooked by the more traditional aggregate level approaches.

Suggested Citation

  • Haddawy, Peter & Hassan, Saeed-Ul & Abbey, Craig W. & Lee, Inn Beng, 2017. "Uncovering fine-grained research excellence: The global research benchmarking system," Journal of Informetrics, Elsevier, vol. 11(2), pages 389-406.
  • Handle: RePEc:eee:infome:v:11:y:2017:i:2:p:389-406
    DOI: 10.1016/j.joi.2017.02.004
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    References listed on IDEAS

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    1. Ahlgren, Per & Waltman, Ludo, 2014. "The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments," Journal of Informetrics, Elsevier, vol. 8(4), pages 985-996.
    2. Jamil Salmi, 2009. "The Challenge of Establishing World-Class Universities," World Bank Publications - Books, The World Bank Group, number 2600, December.
    3. Jean-Charles Billaut & Denis Bouyssou & Philippe Vincke, 2010. "Should you believe in the Shanghai ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 237-263, July.
    4. Jean-Charles Billaut & Denis Bouyssou & Philippe Vincke, 2010. "Should you believe in the Shanghai ranking?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(1), pages 237-263, July.
    5. Moed, Henk F., 2010. "Measuring contextual citation impact of scientific journals," Journal of Informetrics, Elsevier, vol. 4(3), pages 265-277.
    6. repec:dau:papers:123456789/2947 is not listed on IDEAS
    7. Ludo Waltman & Clara Calero-Medina & Joost Kosten & Ed C.M. Noyons & Robert J.W. Tijssen & Nees Jan Eck & Thed N. Leeuwen & Anthony F.J. Raan & Martijn S. Visser & Paul Wouters, 2012. "The Leiden ranking 2011/2012: Data collection, indicators, and interpretation," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2419-2432, December.
    8. Haddawy, Peter & Hassan, Saeed-Ul & Asghar, Awais & Amin, Sarah, 2016. "A comprehensive examination of the relation of three citation-based journal metrics to expert judgment of journal quality," Journal of Informetrics, Elsevier, vol. 10(1), pages 162-173.
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    Cited by:

    1. Saeed-Ul Hassan & Mubashir Imran & Uzair Gillani & Naif Radi Aljohani & Timothy D. Bowman & Fereshteh Didegah, 2017. "Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1037-1057, November.
    2. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    3. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    4. Saeed-Ul Hassan & Sehrish Iqbal & Naif R. Aljohani & Salem Alelyani & Alesia Zuccala, 2020. "Introducing the ‘alt-index’ for measuring the social visibility of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1407-1419, June.
    5. Bonaccorsi, Andrea & Belingheri, Paola & Secondi, Luca, 2021. "The research productivity of universities. A multilevel and multidisciplinary analysis on European institutions," Journal of Informetrics, Elsevier, vol. 15(2).

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