Disambiguation Solution for Persons’ Accounts in Research Information Management Systems

Abstract

Objectives: Personal identification in information systems, trivial task in software engineering when a passport number or email addresses are available, is a challenge when users’ data cannot be stored or an email has been changed or shared. In particularly, it is a challenge in research management systems that aggregate recent academic articles, patents, data sets, and other findings and provide a link to their authors. Methods/Analysis: To achieve the project objectives, the authors have reviewed corresponding solutions providing the classification for author disambiguation methods and using the comparative analysis. In addition, they have calculated sensitivity for the process of person identification to the estimated amount of manual work on disambiguation. Findings: This paper proposes the approach and algorithms, which together are a solution for the personal identification process to ensure duplicate elimination. Novelty of the Study: The approach is suitable for systems with shared emails or user accounts. Keywords: Author Disambiguation, Author Identifier, Current Research Information Systems (CRIS), Duplicate Detection, Identity Management, Master Data Management (MDM), Person Disambiguation, Research Information Management, User Accounting