Understanding the evolving academic landscape of library and information science through faculty hiring data

Abstract

Using a 40-year (from 1975 to 2015) hiring dataset of 642 library and Information science (LIS) faculty members from 44 US universities, this research reveals the disciplinary characteristics of LIS through several key aspects including gender, rank, country, university, major, and research area. Results show that genders and ranks among LIS faculty members are evenly distributed; geographically, more than 90 % of LIS faculty members received doctoral degrees in the US; meanwhile, 60 % of LIS faculty received Ph.D. in LIS, followed by Computer Science and Education; in regards to research interests, Human-Computer interaction, Digital Librarianship, Knowledge Organization and Management, and Information Behavior are the most popular research areas among LIS faculty members. Through a series of dynamic analyses, this study shows that the educational background of LIS faculty members is becoming increasingly diverse; in addition, research areas such as Human-Computer interaction, Social Network Analysis, Services for Children and Youth, Information Literacy, Information Ethics and Policy, and Data and Text Mining, Natural Language Processing, Machine Learning have received an increasing popularity. Predictive analyses are performed to discover trends on majors and research areas. Results show that the growth rate of LIS faculty members is linearly distributed. In addition, among faculty member's Ph.D. majors, the share of LIS is decreasing while that the share of Computer Science is growing; among faculty members' research areas, the share of Human-Computer interaction is on the rise.

Mapping of topics in DESIDOC Journal of Library and Information Technology, India: a study

“…Studies from the international perspective presented in Table 4 can be divided as (a) international and (b) country-specific. Following articles present an overview of research trends in LIS with regard to an international context wherein Zhu et al (2016) performed an interesting study to determine the international research trends of LIS on the basis of faculty member's Ph.D. major and their research interest. The research interest and the major of faculty can greatly influence the research trends of a field.…”

Collecting Diachronic Affiliation Datafor Faculty at HBCUs Using Memento

“…A more reliable data source is the professor data published by institutional websites. Researchers have collected hiring and placement data from such websites (Clauset et al, 2015; Franzoni et al, 2018; Williamson & Cable, 2003; Zhu & Yan, 2017; Zhu et al, 2016). This project will significantly expand the scope of data collection by including those who have been affiliated with HBCUs from 2006 to 2020.…”

Rhetorical structure parallels research topic in LIS articles: a temporal bibliometrics examination

“…Topics 1 to 10, sequentially coordinating with Table 5, address Scholarly Communication and Scientometrics, Information Retrieval and Behavior, Information System, Knowledge Organization and Management, Information Economics, Human Computer Interaction, Social Network Analysis, Digital Libraries, Biomedical Informatics and Information Visualization. Representative keywords were manually examined by two LIS domain experts with the help of Zhu et al. (2016).…”