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ICT assessment: Moving beyond journal outputs

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  • Linda Butler

    (Australian National University)

Abstract

There are increasing moves to deploy quantitative indicators in the assessment of research, particularly in the university sector. In Australia, discussions surrounding their use have long acknowledged the unsuitability of many standard quantitative measures for most humanities, arts, social science, and applied science disciplines. To fill this void, several projects are running concurrently. This paper details the methodology and initial results for one of the projects that aims to rank conferences into prestige tiers, and which is fast gaining a reputation for best practice in such exercises. The study involves a five-stage process: identifying conferences; constructing a preliminary ranking of these; engaging in extensive consultation; testing performance measures based on the rankings on ‘live’ data; and assessing the measures. In the past, many similar attempts to develop a ranking classification for publication outlets have faltered due to the inability of researchers to agree on a hierarchy. However the Australian experience suggests that when researchers are faced with the imposition of alternative metrics that are far less palatable, consensus is more readily achieved.

Suggested Citation

  • Linda Butler, 2008. "ICT assessment: Moving beyond journal outputs," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(1), pages 39-55, January.
    • Handle: RePEc:spr:scient:v:74:y:2008:i:1:d:10.1007_s11192-008-0102-7
    DOI: 10.1007/s11192-008-0102-7
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    References listed on IDEAS

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    1. Linda Butler, 2003. "Modifying publication practices in response to funding formulas," Research Evaluation, Oxford University Press, vol. 12(1), pages 39-46, April.
    2. Thed van Leeuwen, 2006. "The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 133-154, January.
    3. Linda Butler & Martijn S. Visser, 2006. "Extending citation analysis to non-source items," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 327-343, February.
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    Citations

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    Cited by:

    1. Sicilia, Miguel-Angel & Sánchez-Alonso, Salvador & García-Barriocanal, Elena, 2011. "Comparing impact factors from two different citation databases: The case of Computer Science," Journal of Informetrics, Elsevier, vol. 5(4), pages 698-704.
    2. Matthew Harsh & Ravtosh Bal & Alex Weryha & Justin Whatley & Charles C. Onu & Lisa M. Negro, 2021. "Mapping computer science research in Africa: using academic networking sites for assessing research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 305-334, January.
    3. Stefano Breschi & Franco Malerba, 2011. "Assessing the scientific and technological output of EU Framework Programmes: evidence from the FP6 projects in the ICT field," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 239-257, July.
    4. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    5. Polat, Zeynel Abidin & Alkan, Mehmet & Paulsson, Jenny & Paasch, Jesper M. & Kalogianni, Eftychia, 2022. "Global scientific production on LADM-based research: A bibliometric analysis from 2012 to 2020," Land Use Policy, Elsevier, vol. 112(C).
    6. Vinicius da Silva Almendra & Denis Enăchescu & Cornelia Enăchescu, 2015. "Ranking computer science conferences using self-organizing maps with dynamic node splitting," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 267-283, January.
    7. Zhang, Lin & Glänzel, Wolfgang, 2012. "Proceeding papers in journals versus the “regular” journal publications," Journal of Informetrics, Elsevier, vol. 6(1), pages 88-96.

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