[目的/意义] 针对当前大数据时代下应急信息质量管理面临的新挑战，提出大数据环境下应急信息质量评估体系，以帮助筛选出高质量的应急信息。[方法/过程] 基于大数据环境下应急信息的特征以及在应急管理中对于高质量应急信息的需求分析，设计并构建大数据环境下的应急信息质量评估体系；并且利用云模型对EPS数据库和EM-DAT突发事件数据库中国内的应急信息进行案例研究。[结果/结论] 评估结果与实际情况较为相符，说明该评估体系对指导应急信息质量评估工作具有一定作用。
[Purpose/significance] This paper proposes an emergency information quality evaluation system in the big data environment to help screen out high-quality emergency information in view of the new challenges faced by emergency information quality management in the current big data era.[Method/process] Based on the characteristics of emergency information in big data environment and the demand analysis for high-quality emergency information in emergency management, an emergency information quality evaluation system in big data environment was designed and constructed. Furthermore, the cloud model was used to evaluate the domestic emergency information in EPS database and EM-DAT emergency database.[Result/conclusion] The evaluation results are in good agreement with the actual situation, which indicates that the evaluation system has certain significance for guiding the quality evaluation of emergency information.
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