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María Hernandez, Susana Montero, David Díez, Paloma Díaz, & Ignacio Aedo. (2010). A data transfer protocol for forest fire statistics: Achieving interoperability among independent agencies. In C. Zobel B. T. S. French (Ed.), ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings. Seattle, WA: Information Systems for Crisis Response and Management, ISCRAM.
Abstract: The elaboration of statistics after a catastrophic situation allows us not only to analyze the economic, ecological and social impact of the event but also to improve the emergency management process. One compelling example of data collection for statistics is forest fires. The agencies involved in providing data have its own systems to collect data and mechanisms to send them, as well as, its data format for storing. Since such mechanisms are usually proprietary, and in order to normalize the exchange of data with statistics generating systems, a data transfer protocol should be used. In this paper we present a data transfer protocol called Forest Fire Statistics Protocol (FFSP). This protocol aims at transmitting consolidated forest fire data between independent agencies. The data transferred are based on the Forest Fire Report Data Model. Both mechanisms are based on open standards providing both technical interoperability and a solution that might be developed once and fit the needs of all. FFSP has been implemented as a web service over SOAP, SSL/TLS and TCP protocols.
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Matthias Lendholt, Martin Hammitzsch, & Peter Löwe. (2013). Harmonization of data formats for tsunami simulation products. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 365–369). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
Abstract: The development of sustainable tsunami early warning systems (TEWS) requires the adoption of proven standards for components on all system levels. This is crucial to ensure the successful operation of the overall system in the long term. Currently, components, data formats and models used to build an individual TEWS come from independent development efforts, using non-standardized proprietary interfaces. Integrating these components into a TEWS requires additional work effort due to the proprietary technologies and formats. This article discusses alternative cost-effective approaches. The successful integration of the TEWS system components depends critically on the adoption and application of industry standards and good practices. From this perspective, this article examines the role of tsunami simulation models, and the challenge to integrate the data products generated from independent tsunami models for a TEWS. The significance of tsunami simulation products, consisting of data and metadata, for the overall early warning workflow is described, including data exchange (among multiple TEWS) and information visualization in combination with additional spatial information. As an outcome, the use of standardized data formats for simulation products is recommended for future work. This approach is demonstrated on a simulation of the March 2011 Tohoku-Oki mega thrust earthquake.
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Jack Pagotto, & Darrell O'Donnell. (2012). Canada's multi-agency situational awareness system – Keeping it simple. In Z.Franco J. R. L. Rothkrantz (Ed.), ISCRAM 2012 Conference Proceedings – 9th International Conference on Information Systems for Crisis Response and Management. Vancouver, BC: Simon Fraser University.
Abstract: The Canadian Multi-Agency Situational Awareness System (MASAS) is rapidly becoming Canada's national system for exchanging emergency management incident-relevant information amongst multiple agencies and jurisdictions. Through the use of structured information aligned with open standards, and a centrally managed open architecture, MASAS provides a trusted virtual community with the ability to seamlessly exchange emergency management information. MASAS offers an information exchange architecture that is based around a highly resilient system of data aggregation hubs that are easily accessible directly or through third party commercial tools by emergency management officials at all levels, from the smallest community in the most remote areas of Canada's north to key federal stakeholders such as the federal Government Operations Centre or the Canadian military. This paper highlights the key design principles, experimental activities, and technology implementation strategies that are positioning MASAS as a Canadian success story in the making – from coast to coast to coast. © 2012 ISCRAM.
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