m-sized Training and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"

Automated classification of metadata of research data by their discipline(s) of research can be used
in scientometric research, by repository service providers, and in the context of research data aggregation
services. Openly available metadata of the DataCite index for research data were used to compile a large
training and evaluation set comprised of 609,524 records. This is the cleaned and vectorized version with a feature selection of medium size

基于研究学科对科研数据元数据实施自动化分类，可应用于科学计量研究、仓储服务提供商的业务场景，以及科研数据聚合服务的相关场景中。本研究采用科研数据DataCite索引的公开元数据，构建了包含609524条记录的大型训练与评测数据集。该数据集为经过清洗、向量化处理，并完成中等规模特征选择的版本。