DesignSafe 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.

DesignSafe解决了在自然灾害工程中支持集成数据驱动研究的挑战。它是一个端到端的数据管理，通信和分析平台，用户可以在其中收集，生成，分析，整理和发布来自各种来源的大型数据集，包括实验，模拟，现场研究和灾后侦察。DesignSafe通过以下方式实现关键目标：（1）与高性能和云计算资源集成，以支持区域风险评估界的计算需求；（2）策划和发布强调关系和可理解性的各种数据结构的可能性；（3）促进自然灾害事件和灾害期间的实时通信，以实现数据和信息共享。由此产生的服务和工具缩短了弹性评估，风险模型验证和法证研究的数据周期。本文说明了网络基础设施的显着特征。它总结了其设计原理，体系结构和功能。重点是案例研究，以显示DesignSafe对灾难风险社区的影响。下一代液化项目将地震引起的土壤液化的案例历史收集并标准化到关系数据库DesignSafe中，以允许用户与数据进行交互。研究人员可以基于建筑物传感器的数据将DesignSafe建筑物的动态特性与根据地面运动测量值观察到的损坏关联起来。侦察小组上传，整理和发布风，地震，和他们在野外侦察任务中收集的沿海破坏数据，因此灾难发生后不久即可使用这些数据集。作为DesignSafe教育和社区扩展工作的一部分，还向灾难风险管理社区提供了培训材料和协作空间。