Use of Big Data for Continuous Interoperability in Crisis Management

Abstract

Crisis management often involves several stakeholders, who need to be synchronized, despite their heterogeneity or their lack of time, without having any predefined solution for supporting their coordination or data sharing. To help them, crisis cells are set up at the moment the news of crisis is released and actually have only the time to centralize decisions. The purpose of the French ANR (French National Agency for Research) GéNéPi project is to permit interoperability, through supporting coordination and data sharing: inside the decisional level, between hierarchical echelons, and inside the operational level, between the stakeholders. A MIS (Mediation Information System) is provided by this project and encompasses: (i) the information analysis, on the basis of data collected during the preparation phase, (ii) the creation of one collaborative process and (iii) the agility of the solution by comparing two situation models on run-time. Such a system needs to deal with Big Data issues in order to be able to evaluate these models. The paper presents the context of the research and the improvements brought by the MIS. It also expresses the possibility of and the need for automate the data retrieval, thanks to Big Data methods, so that the MIS could evaluate the field situation in real time.