WCSE

Research Landscape, Emerging Trends and New Developments in Data Warehouse: A Scientometric Analysis (1985 - 2021)

Abstract— As the core component of bussiness intelligence, Data Warehouse (DW) has been studied by academia and industry for many years. In this paper, a scientometric review of DW over the past 30 years was conducted, with the aim to capture the landscapes, research hotspots and emerging trends in this field. The dataset was gathered from Web of Science between 1985 to 2021. Besides basic scientific outputs assessment based on statistical analysis and comparative analysis, scientometric softwares such as Citespace, VOSViewer and Bibliometrix were used to analysis the knowldege structure of Data Warehouse. Results showed that Data Warehouse research went up significantly in the past two decades, including a total of 2529 articles covering 93 countries/territories, and the top five most productive countries are USA, China, France, India, Germany, and Spain. There are 2028 research institutes involved in the field of DW and the top five most influential institutes are University of Alicante, University of Virginia, University of Georgia, University of Bologna and Stanford University. Besides, Keywords with strongest citation burst such as Spatial Data Warehouse, Data Mart, Etl Processe, Multidimensional Model, Business Intelligence, Cloud Computing, Dimensional Model, Big Data Warehouse, Nosql Database, Clinical Data Warehouse, Olap and Information Extraction, demonstrate the emerging trends of Data Warehouse. The results shown in this paper are expected to facilitate the research of Data Warehouse.

Index Terms—scientometric, bibliometric, citespace, Data Warehouse

Changjun Fan
College of Systems Engineering, National University of Defense Technology, Changsha, 410073, CHINA
Li Zeng
School of International Business and Management, Sichuan International Studies University, Chongqing,400000, CHINA
Kuihua Huang
College of Systems Engineering, National University of Defense Technology, Changsha, 410073, CHINA

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Cite: Changjun Fan, Li Zeng , Kuihua Huang, "Research Landscape, Emerging Trends and New Developments in Data Warehouse: A Scientometric Analysis (1985 - 2021), " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 126-136, June 24-27, 2022.