A Bibliometric Analysis of Data Governance Research: Trends, Collaborations, and Future Directions

Abstract

Research on data governance has been shaped by an excessive number of articles published in recent decades. The research study used bibliometric techniques to examine 757 journal articles in the Scopus database and it shows a dynamic growth of the topic in the selected years from 2012 to 2022. The methodology is based on the performance analysis technique and science mapping technique in bibliometric analysis. The results explore the contribution to the domain in terms of authors, sources, and countries, disclose the network between the countries and scholars relevant to the publications, and provide research areas that need more attention which drives data governance. Data protection, data access, artificial intelligence, data management, cloud computing, blockchain, and data transformation are among the areas where there is a lack of information, therefore academics should pay closer attention to them in the future. The authors observed that a wide range of disciplines have been used to address the topic of data governance. The study lays the foundation for academics, practitioners, and policymakers to conduct more future research and leads to advancing data governance research.