Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems

Donner P, Rimmert C, van Eck NJ (2020)
Quantitative Science Studies 1(1): 150-170.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
Download
Es wurden keine Dateien hochgeladen. Nur Publikationsnachweis!
Autor*in
Donner, Paul; Rimmert, ChristineUniBi; van Eck, Nees Jan
Abstract / Bemerkung
The present study is an evaluation of three frequently used institution name disambiguation systems. The Web of Science normalized institution names and Organization Enhanced system and the Scopus Affiliation ID system are tested against a complete, independent institution disambiguation system for a sample of German public sector research organizations. The independent system is used as the gold standard in the evaluations that we perform. We study the coverage of the disambiguation systems and, in particular, the differences in a number of commonly used bibliometric indicators. The key finding is that for the sample institutions, the studied systems provide bibliometric indicator values that have only a limited accuracy. Our conclusion is that for any use with policy implications, additional data cleaning for disambiguating affiliation data is recommended.
Stichworte
research evaluation; institution name disambiguation; bibliometric data; data quality; Web of Science; Scopus; validation study
Erscheinungsjahr
2020
Zeitschriftentitel
Quantitative Science Studies
Band
1
Ausgabe
1
Seite(n)
150-170
eISSN
2641-3337
Page URI
https://pub.uni-bielefeld.de/record/2957342

Zitieren

Donner P, Rimmert C, van Eck NJ. Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies. 2020;1(1):150-170.
Donner, P., Rimmert, C., & van Eck, N. J. (2020). Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies, 1(1), 150-170. https://doi.org/10.1162/qss_a_00013
Donner, Paul, Rimmert, Christine, and van Eck, Nees Jan. 2020. “Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems”. Quantitative Science Studies 1 (1): 150-170.
Donner, P., Rimmert, C., and van Eck, N. J. (2020). Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies 1, 150-170.
Donner, P., Rimmert, C., & van Eck, N.J., 2020. Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies, 1(1), p 150-170.
P. Donner, C. Rimmert, and N.J. van Eck, “Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems”, Quantitative Science Studies, vol. 1, 2020, pp. 150-170.
Donner, P., Rimmert, C., van Eck, N.J.: Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems. Quantitative Science Studies. 1, 150-170 (2020).
Donner, Paul, Rimmert, Christine, and van Eck, Nees Jan. “Comparing institutional-level bibliometric research performance indicator values based on different affiliation disambiguation systems”. Quantitative Science Studies 1.1 (2020): 150-170.
Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar