学者身份管理系统元数据分布规律研究

本文通过对研究学者在不同身份管理系统中分布以及元数据使用情况的研究,对于了解各个系统的功能目标及差异,构建有效的身份管理和元数据增强策略,实现身份管理领域的数据共享和重用具有重要作用。本文以100名中国学者作为调查样本,分析其在中文名称规范联合数据库、百度学者、ORCID、ScopusID和Publons共5个身份管理系统中的识别分布情况,并结合词频统计、共现分析及主成分分析方法,度量并分析身份管理系统在元数据结构以及信息量分布上的差异。研究发现,学者在不同类型的身份管理系统中呈现不同的识别和共现特点;同一系统内部的元素分布并不平衡,且不同系统间的元数据结构也呈现差异性;并非所有身份系统的元素指标均具有很强的相关性,而是呈现出2个不同的成分分组,且各个系统元素对于各组信息量的贡献率也不一致。

Research on the Metadata of Scholar Identity Management Systems

Research on metadata in different identity management systems can help in the understanding of functional goals and differences of each system,build effective identity management and metadata enhancement strategies,and achieve the goal of data sharing and reuse in the field of identity management.This study uses 100 Chinese scholars as a survey sample to analyze its identification in the five identity management systems:Chinese Name Authority Joint Database Search System,Baidu Scholar,ORCID,ScopusID,and Publons.It also measures and analyzes differences in the metadata structure and elements value,combined with the methods of word frequency statistics,co-occurrence analysis,and principal components analysis.The study finds that scholars present different identification and co-occurrence characteristics in different types of identity management systems;the distribution of elements within the same system is not balanced,and the metadata structure between different systems also differs.The metadata element of each system does not always have strong correlation and presents two distinct groups of components.Moreover,the contribution rate of each system element to each group of information is not consistent.