Towards A Taxonomy of Emerging Topics in Open Government Data: A Bibliometric Mapping Approach

• Published in: Proceedings of the Annual Hawaii International Conference on System Sciences
• Main Author: Mohamad A.N.; Sylvester A.; Campbell-Meier J.
• Format: Conference paper
• Language: English
• Published: IEEE Computer Society 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146973174&partnerID=40&md5=5a781f1c731356ca1a3b1ac60f486865

The purpose of this paper is to capture the emerging research topics in Open Government Data (OGD) through a bibliometric mapping approach. Previous OGD research has covered the evolution of the discipline with the application of bibliometric mapping tools. However, none of these studies have extended the bibliometric mapping approach for taxonomy building. Realizing this potential, we used a bibliometric tool to perform keyword analysis as a foundation for taxonomy construction. A set of keyword clusters was constructed, and qualitative analysis software was used for taxonomy creation. Emerging topics were identified in a taxonomy form. This study contributes towards the development of an OGD taxonomy. This study contributes to the procedural realignment of a past study by incorporating taxonomy building elements for taxonomy creation. These contributions are significant because there is insufficient taxonomy research in the OGD discipline. The taxonomy building procedures extended in this study are applicable to other fields. © 2022 IEEE Computer Society. All rights reserved.