Research Article
Knowledge Mapping of Open Government Data Studies: A Bibliometric Analysis Based on Keyword Structure
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334658, author={Mingle Zhou and Xiaoyuan Wei and Delong Han and Hui Jiang}, title={Knowledge Mapping of Open Government Data Studies: A Bibliometric Analysis Based on Keyword Structure}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={bibliometric analysis; knowledge map; open government data}, doi={10.4108/eai.2-6-2023.2334658} }- Mingle Zhou
Xiaoyuan Wei
Delong Han
Hui Jiang
Year: 2023
Knowledge Mapping of Open Government Data Studies: A Bibliometric Analysis Based on Keyword Structure
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334658
Abstract
As few studies have systematically reviewed Open Government Data (OGD) research, the present study conducts an overall bibliometric analysis to propose main themes, spatial structure, specific research paradigms, keyword evolution trends, and noteworthy future themes in the OGD field. Specifically, we employ the top 116 keywords as research data collected from 602 publications in the Web of Science database (WOS) from 2010 to 2022. In this research, We find that existing literature mainly focuses on five main research themes: (1) OGD participants, (2) OGD technologies, (3) OGD theories and methodologies, (4) OGD values, and (5) OGD management. Furthermore, we conclude with the specific research paradigms of the five main themes, respectively. In addition, we conclude notable themes and propose three well-studied perspectives (i.e., bureau-cratic, technological, and political) and one under-studied perspective (i.e., economic) in the domain of OGD research. Our findings provide scholars guidance in conducting OGD research comprehensively.
