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Research Evaluation

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Being a Researcher

Abstract

This chapter is about research evaluation. Evaluation is quintessential to research. It is traditionally performed through qualitative expert judgement. The chapter presents the main evaluation activities in which researchers can be engaged. It also introduces the current efforts towards devising quantitative research evaluation based on bibliometric indicators and critically discusses their limitations, along with their possible (limited and careful) use.

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Change history

  • 19 October 2021

    The original version of the chapter was inadvertently published with an error. The chapter has now been corrected.

Notes

  1. 1.

    Notice that the taxonomy presented in Box 5.1 does not cover all kinds of scientific papers. As an example, it does not cover survey papers, which normally are not submitted to a conference.

  2. 2.

    Private institutions and industry may follow different schemes.

References

  1. Adler, R., Ewing, J., Taylor, P.: Citation statistics: A report from the international mathematical union (imu) in cooperation with the international council of industrial and applied mathematics (iciam) and the institute of mathematical statistics (ims). Statistical Science 24(1), 1–14 (2009). URL http://www.jstor.org/stable/20697661

  2. Esposito, F., Ghezzi, C., Hermenegildo, M., Kirchner, H., Ong, L.: Informatics Research Evaluation. Informatics Europe (2018). URL https://www.informatics-europe.org/publications.html

  3. Friedman, B., Schneider, F.B.: Incentivizing quality and impact: Evaluating scholarship in hiring, tenure, and promotion. Computing Research Association (2016). URL https://cra.org/resources/best-practice-memos/incentivizing-quality-and-impact-evaluating-scholarship-in-hiring-tenure-and-promotion/

  4. Hicks, D., Wouters, P., Waltman, L., de Rijcke, S., Rafols, I.: Bibliometrics: The leiden manifesto for research metrics. Nature News 520(7548), 429 (2015). https://doi.org/10.1038/520429a. URL http://www.nature.com/news/bibliometrics-the-leiden-manifesto-for-research-metrics-1.17351

  5. Parnas, D.L.: Stop the numbers game. Commun. ACM 50(11), 19–21 (2007). https://doi.org/10.1145/1297797.1297815. URL http://doi.acm.org/10.1145/1297797.1297815

  6. Patterson, D., Snyder, L., Ullman, J.: Evaluating computer scientists and engineers for promotion and tenure. Computing Research Association (1999). URL https://cra.org/resources/best-practice-memos/incentivizing-quality-and-impact-evaluating-scholarship-in-hiring-tenure-and-promotion/

  7. Saenen, B., Borrell-Damian, L.: Reflections on University Research Assessment: key concepts, issues and actors. European University Association (2019). URL https://eua.eu/component/attachments/attachments.html?id=2144

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Correspondence to Carlo Ghezzi .

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Ghezzi, C. (2020). Research Evaluation. In: Being a Researcher. Springer, Cham. https://doi.org/10.1007/978-3-030-45157-8_5

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  • DOI: https://doi.org/10.1007/978-3-030-45157-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45156-1

  • Online ISBN: 978-3-030-45157-8

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