Application of Open Data in Disaster Risk Research: A Preliminary Review Using Bibliometric Analysis

Jingyi Gao, Wei Chen, Osamu Murao

Research output: Contribution to journalReview articlepeer-review

Abstract

Open data is a practical source for identifying disaster risks. However, few studies have examined open data usage. This study employed CiteSpace to conduct a bibliometric analysis to determine the evolution of open data in the field of disaster risk based on the literature. The findings were as follows: first, the existing disaster-related research can be classified into four categories: introduction to risk management and its concepts, multi-hazard response, studies on the specific background or context, and analysis of the technology or methods used in disaster risk reduction. Second, the relevant literature first emerged in 1997 and has rapidly expanded in recent years. Top keywords were identified, such as “natural disaster,” “risk,” and “climate change.” Third, the most productive country in terms of publications has been the People’s Republic of China; however, the low centrality indicates a lack of international collaborations. Fourth, several bursts were found in the collected literature. The term “data analysis” appears to be one of the most pressing concerns. Finally, we identified the research frontiers. The topic “accessible global dataset” has been of primary interest to researchers recently. The results of this study can provide directional references for future research in the field.

Original languageEnglish
Pages (from-to)1090-1100
Number of pages11
JournalJournal of Disaster Research
Volume17
Issue number6
DOIs
Publication statusPublished - 2022 Oct

Keywords

  • CiteSpace
  • Web of Science Core Collection
  • bibliometric method
  • disaster risk
  • open data

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

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