Shifting data sources in the rankings of universities
| Main Authors: | Chun-Kai Huang, Cameron Neylon, Lucy Montgomery, Katie Wilson, Richard Hosking, Alkim Ozaygen, Chloe Brookes-Kenworthy |
|---|---|
| Format: | Proceeding poster eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3549127 |
Daftar Isi:
- This study examines the effects of shifting data sources in the rankings of universities. In particular, universities are ranked according to their levels of average citation counts (ACC) and open access (OA) for publications indexed by each of three different bibliographic sources, namely Web of Science (WoS), Scopus and Microsoft Academic (MSA). Metadata on ACC and OA are retrieved from two external databases, i.e., Unpaywall and OpenCitations, to avoid internal biases. The results demonstrate how changing the data source can have significant impact on the perceived performance of individual universities. This work forms part of the Curtin Open Knowledge Initiative (COKI) project [1], spearheaded by Curtin University.