An Evaluation of OpenAlex Level 0 - Art
DOI:
https://doi.org/10.29173/cais1979Abstract
OpenAlex is an online repository using an automated classification system. While existing studies highlight the overall usability of OpenAlex, this study analyzes the limitations and effectiveness of the Level 0 concept “Art.” Our findings suggest that the system has significant hierarchical and semantic shortcomings identified through a mixed-method research approach. This approach utilized qualitative and quantitative research methods to provide a holistic evaluation of the system, gauging its effectiveness in indexing papers. Moreover, we provide key insights into how improvements can be made to render OpenAlex an effective and
usable classification system.
References
Jahn, N., Haupka, N., Hobert, A. (2023, Nov. 7). Scholarly communication analytics: Analysing
and reclassifying open access information in OpenAlex. Retrieved from
https://subugoe.github.io/scholcomm_analytics/posts/oalex_oa_status/
Jiao, C., Li, K., & Fang, Z. (2023). How are exclusively data journals indexed in major scholarly databases? An examination of four databases. Scientific Data, 10(1), 737–737. https://doi.org/10.1038/s41597-023-02625-x
Krause, G. & Mongeon, P. (2023). Measuring Data Re-Use Through Dataset Citations in OpenAlex [preprint]. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023), Leiden, Netherlands. https://doi.org/10.55835/6442d8d30f5efe988a0e1d67
Laakso, M. (2023). Open access books through open data sources: Assessing prevalence, providers, and preservation. Journal of Documentation, 79(7), 157–177. https://doi.org/10.1108/jd-02-2023-0016
Overview. OpenAlex. (n.d.). https://docs.openalex.org/
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Senka Stankovic, Isabella Sun, Kayla Wemp
This work is licensed under a Creative Commons Attribution 4.0 International License.
