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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
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.
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.
Private institutions and industry may follow different schemes.
References
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
Esposito, F., Ghezzi, C., Hermenegildo, M., Kirchner, H., Ong, L.: Informatics Research Evaluation. Informatics Europe (2018). URL https://www.informatics-europe.org/publications.html
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/
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
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
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/
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
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ghezzi, C. (2020). Research Evaluation. In: Being a Researcher. Springer, Cham. https://doi.org/10.1007/978-3-030-45157-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-030-45157-8_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-45156-1
Online ISBN: 978-3-030-45157-8
eBook Packages: Computer ScienceComputer Science (R0)