论文标题
重新分类研究：从2008年到2020年的映射
Recategorising research: Mapping from FoR 2008 to FoR 2020 in Dimensions
论文作者
论文摘要
2020年，澳大利亚新西兰标准研究法规的标准研究分类字段（用于代码的ANZSRC）由其所有者进行了更新。这导致该行业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。本文描述了数字科学维度团队开发的方法，以创建改进的机器学习训练集，以及该设置从2008年代码到2020代码的映射，以便可以改进和更新ANZSRC代码的Dimensions分类方法。
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 describes 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 Dimensions classification approach for the ANZSRC codes could be improved and updated.
