Libraries at University of Nebraska-Lincoln
Document Type
Article
Abstract
Abstract
Purpose –The purpose of this paper is to present the quantitative analysis of scholarly literature published worldwide on Data Science in the field of Library and Information Science (LIS).
Design/methodology/approach –The Web of Science (WoS) Core Collection database was used as the main source for extracting data from the published documents during the period 2010-2019. The analysis of the published documents was based on the following important trends: Number of Data Science publications in all fields, Number of Data Science publications in the LIS field, the most cited document type on Data Science in LIS perspective, the most prolific author, the most productive publication year, the most productive country, annual citations, highly cited journal and research article on Data Science in LIS perspective, highly contributing research organizations and group authors on Data Science in LIS field and highly contributing universities on Data Science in LIS field during the period 2010-2019. The types of documents considered in this study were research articles, conference proceeding papers, book chapters, book reviews and editorial material.
Findings –The findings of this study showed that the USA possessed the highest number of publications on Data Science in the field of LIS. The total number of publications on Data Science including all fields was 106,028 and the number of publications on Data Science in LIS perspective was 3,799 during the period 2010-2019. The year 2019 was identified as the most productive year as the research output in this year was maximum. IEEE was identified as the most productive research organization/group author, Wuhan University China as the most productive university and the Journal of Scientometrics was declared as the most prolific journal on Data Science in LIS perspective during the period 2010-2019. Bornmann Lutz, from Germany, was identified as the most prolific author with a total of 69 publications and the article titled “Business Intelligence and Analytics: From Big Data to Big Impact” was the highly cited article on Data Science in LIS perspective during the period 2010-2019.
Originality/value –The study will be of great importance for students, scholars, educationists, professionals and researchers who intend to perform Scientometrics research studies in the LIS field.