Disaster Risk Management Through the DesignSafe Cyberinfrastructure

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dc.citation.firstpage719
dc.citation.issueNumber6
dc.citation.journalTitleInternational Journal of Disaster Risk Science
dc.citation.lastpage734
dc.citation.volumeNumber11
dc.contributor.authorPinelli, Jean-Paul
dc.contributor.authorEsteva, Maria
dc.contributor.authorRathje, Ellen M.
dc.contributor.authorRoueche, David
dc.contributor.authorBrandenberg, Scott J.
dc.contributor.authorMosqueda, Gilberto
dc.contributor.authorPadgett, Jamie
dc.contributor.authorHaan, Frederick
dc.date.accessioned2021-02-24T19:15:43Z
dc.date.available2021-02-24T19:15:43Z
dc.date.issued2020
dc.description.abstractDesignSafe addresses the challenges of supporting integrative data-driven research in natural hazards engineering. It is an end-to-end data management, communications, and analysis platform where users collect, generate, analyze, curate, and publish large data sets from a variety of sources, including experiments, simulations, field research, and post-disaster reconnaissance. DesignSafe achieves key objectives through: (1) integration with high performance and cloud-computing resources to support the computational needs of the regional risk assessment community; (2) the possibility to curate and publish diverse data structures emphasizing relationships and understandability; and (3) facilitation of real time communications during natural hazards events and disasters for data and information sharing. The resultant services and tools shorten data cycles for resiliency evaluation, risk modeling validation, and forensic studies. This article illustrates salient features of the cyberinfrastructure. It summarizes its design principles, architecture, and functionalities. The focus is on case studies to show the impact of DesignSafe on the disaster risk community. The Next Generation Liquefaction project collects and standardizes case histories of earthquake-induced soil liquefaction into a relational database—DesignSafe—to permit users to interact with the data. Researchers can correlate in DesignSafe building dynamic characteristics based on data from building sensors, with observed damage based on ground motion measurements. Reconnaissance groups upload, curate, and publish wind, seismic, and coastal damage data they gather during field reconnaissance missions, so these datasets are available shortly after a disaster. As a part of the education and community outreach efforts of DesignSafe, training materials and collaboration space are also offered to the disaster risk management community.
dc.identifier.citationPinelli, Jean-Paul, Esteva, Maria, Rathje, Ellen M., et al.. "Disaster Risk Management Through the DesignSafe Cyberinfrastructure." <i>International Journal of Disaster Risk Science,</i> 11, no. 6 (2020) Springer Nature: 719-734. https://doi.org/10.1007/s13753-020-00320-8.
dc.identifier.digitalDisasterRiskManagementThroughT
dc.identifier.doihttps://doi.org/10.1007/s13753-020-00320-8
dc.identifier.urihttps://hdl.handle.net/1911/110081
dc.language.isoeng
dc.publisherSpringer Nature
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleDisaster Risk Management Through the DesignSafe Cyberinfrastructure
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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