Analysis of the top global emergency and disaster databases

Abstract

Relevance. Despite advancements in industrial production technologies, no decrease is observed in global statistics for disasters and emergencies, as well as their identified precursors. Reliable and comprehensive inventory of global and regional disaster databases reinforces the development of effective national emergency prevention policies, improving the resilience of industrial facilities against adverse and thus generating extensive evidence for research. The objective is to study top global disaster information management databases and their inventory.Methods. The Internet, state reports, research papers available in the Russian Science Citation Index, Scopus and Web of Science bibliography databases were the major sources of data regarding top global disaster and emergency databases.Results and discussion. EM-DAT: OFDA/CRED (Emergency Events Database), NatCatSERVICE, SIGMA, GLIDE (Global IDEntifier Number), CatNat Global (The natural disasters database (NATDIS)), DesInventar (Disaster Inventory System) are among the top global databases, having quantitative assessment for disaster risk indexes and consequences. Comparative studies of emergency data entries across databases was performed to allow countries and regions to develop common global assessment tools for emergency consequences.Conclusion. Consistent terminology and uniformity of data submission procedures across top global international databases allows Russian and international experts to develop the most effective tools to predict and prevent various emergencies and build common consequence assessment strategies for countries and regions of the world.