In 2020 the Australia New Zealand Standard Research Classification Fields of Research Codes (ANZSRC FoR codes) were updated by their owners. This has led the sector to need to update their systems of reference and has caused suppliers working in the research information sphere to need to update both systems and data. This paper focuses on the approach developed by Digital Science’s Dimensions team to the creation of an improved machine-learning training set, and the mapping of that set from FoR 2008 codes to FoR 2020 codes so that the Dimensions classification approach for the ANZSRC codes could be improved and updated.

categorisation, ANZSRC FoR Codes, dimensions, machine learning
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Author notes

Handling Editor: Ludo Waltman

Peer Review: https://www.webofscience.com/api/gateway/wos/peer-review/10.1162/qss_a_00244

© 2023 Simon J. Porter, Lezan Hawizy, and Daniel W. Hook. Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
2023
Simon J. Porter, Lezan Hawizy, and Daniel W. Hook
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