A Novel Method for Resolving and Completing Authors' Country Affiliation Data in Bibliographic Records

• 作者: Ba Xuan Nguyen Jesse David Dinneen Markus Luczak-Roesch
• 来源期刊: 数据与情报科学学报:英文版
• 学科: 工学
• 关键词: International research collaboration measurement Bibliographic data Country identification Knowledge graphs Wikidata Open data
• 年，卷（期）: 2020,（3）
• 页码范围: 97-115
• 页数: 19页
• 分类号: TP3

摘要

Purpose: Our work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and reliable measurement of international research collaboration(IRC).Design/methodology/approch: We propose, implement, and evaluate a method that leverages the Web-based knowledge graph Wikidata to resolve publication affiliation data to particular countries. The method is tested with general and domain-specific data sets.Findings: Our evaluation covers the magnitude of improvement, accuracy, and consistency. Results suggest the method is beneficial, reliable, and consistent, and thus a viable and improved approach to measuring IRC.Research limitations: Though our evaluation suggests the method works with both general and domain-specific bibliographic data sets, it may perform differently with data sets not tested here. Further limitations stem from the use of the R programming language and R libraries for country identification as well as imbalanced data coverage and quality in Wikidata that may also change over time.Practical implications: The new method helps to increase the accuracy in IRC studies and provides a basis for further development into a general tool that enriches bibliographic data using the Wikidata knowledge graph.Originality: This is the first attempt to enrich bibliographic data using a peer-produced, Webbased knowledge graph like Wikidata.