Abstract
Disaster related scientific data is multidisciplinary by nature, and comprises data entities from observations, experiments, surveys, simulations, models, and higher-order assemblies, along with the associated information to describe and interpret the data. One of the essential elements of life on this planet is freshwater. Sustainable development with disaster preparedness therefore demands sustainable management of the world’s limited freshwater resources. However, water resources cannot be properly managed unless we know where they are, in what quantity and quality, and how variable they are likely to be in the foreseeable future. The present work with AGORA’s SDI-NODE focuses on connecting dispersed disaster-relevant data to enable easier and faster discovery and access of disaster-related data. The technical framework of environmental data aggregation and unified data sharing method is explored for distributed data integration with a “LOD-enabled SDI-node”.
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Acknowledgments
This research has been supported by the Brazilian Capes Foundation (Programa de Apoio ao Ensino e à Pesquisa Científica e Tecnológica em Desastres Naturais, Pró - Alertas). We also thank Microsoft Research for offering free access to cloud computing resources based on the Microsoft AZURE framework for the present research project (Microsoft Azure sponsorship for University of Sao Paulo till 2016/05/01).
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Leyh, W. (2018). A Conceptual Building-Block and Practical OpenStreetMap-Interface for Sharing References to Hydrologic Features. In: Charytonowicz, J. (eds) Advances in Human Factors, Sustainable Urban Planning and Infrastructure. AHFE 2017. Advances in Intelligent Systems and Computing, vol 600. Springer, Cham. https://doi.org/10.1007/978-3-319-60450-3_14
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DOI: https://doi.org/10.1007/978-3-319-60450-3_14
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