Subject analysis of LIS data archived in a Figshare using co-occurrence analysis
Subject analysis of LIS data archived in a Figshare using co-occurrence analysis is a scholarly work, published in 2019 in ''Online Information Review''. The main subjects of the publication include data science, library science, bibliometrics, data sharing, altmetrics, data quality, originality, World Wide Web, informatics, pathfinder, lock, citation, bibliographic coupling, information science, field, and computer science. Purpose Based on the data from Figshare repositories, the purpose of this paper is to analyze which research data are actively produced and shared in the interdisciplinary field of library and information science (LIS). Design/methodology/approach Co-occurrence analysis was performed on keywords assigned to research data in the field of LIS, which were archived in the Figshare repository.