重新分类研究：从2008年系列到2020年系列的维度映射

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Quantitative Science Studies Pub Date : 2022-08-31 DOI:10.1162/qss_a_00244

Simon Porter, Daniel W. Hook

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引用次数: 3

摘要

2020年，澳大利亚新西兰标准研究分类领域研究代码(ANZSRC FoR代码)由其所有者更新。这导致该部门需要更新其参考系统，并导致在研究信息领域工作的供应商需要更新系统和数据。本文的重点是数字科学的维度团队开发的方法，以创建一个改进的机器学习训练集，并将该集从FoR 2008代码映射到FoR 2020代码，以便ANZSRC代码的维度分类方法可以得到改进和更新。

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

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.

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来源期刊

Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

12.10

自引率

12.50%

发文量

审稿时长

22 weeks

期刊介绍：