Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions-Reference-Cited by-同舟云学术

Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions

Published:2023 Issue:1 Volume:4 Page:127-143
ISSN:2641-3337
Container-title:Quantitative Science Studies
language:en
Short-container-title:

Author:

Porter Simon J.¹^ORCID,Hawizy Lezan¹^ORCID,Hook Daniel W.¹²³^ORCID

Affiliation:

1. Digital Science & Research Solutions Ltd., London, UK

2. Centre for Complexity Research, Imperial College London, London, UK

3. Department of Physics, Washington University in St. Louis, St. Louis, MO, USA

Abstract

Abstract 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.

Publisher

MIT Press

Subject

Library and Information Sciences,Cultural Studies,Numerical Analysis,Analysis

Link

https://direct.mit.edu/qss/article-pdf/4/1/127/2078352/qss_a_00244.pdf

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