CoPe EAGER: Establishing Interface Standards for Physical Exposure and Human Impacts Data Collection and Publication in Rapid Response to Coastal Hazards

快速反应研究对于了解社区在面对热带风暴和洪水事件等沿海灾害时的复原力至关重要。然而，这些事件之后的实地数据收集工作往往不协调，而且是在不同地点进行的，数据收集方法也不同。拟议的工作将建立标准，以帮助协调重大灾难后的快速反应数据收集。对这些努力采取协调一致的方法将提高研究界分析和了解灾难对人类生计的影响的能力，以及可能保护处于危险之中的社区免受灾难影响并改善受灾社区恢复的政策反应。这项研究将使大型数据集大众化，使研究能力降低的个人投资机构能够利用多个数据来源，以检验与海岸线和人有关的假设。此外，该项目将通过NCAR SOARS计划培训一名研究生和一名新近毕业的本科生，该计划有助于扩大未被充分代表的群体在科学领域的参与。多学科项目(大气科学、经济学、工程学和流行病学)旨在定义和记录几种可用于综合危险暴露和人类影响研究的标准化数据格式，并提供软件工具和使用这些标准化数据格式的案例研究，旨在增加开放获取数据存储库的价值。多学科小组将开发和应用沿海危险暴露数据的接口标准，使之能够用于人类影响分析。该项目将确定用于研究沿海灾害暴露对人类影响的时间和空间聚合的共同水平，这将提高海岸线和人的研究的重现性。然后将开发和发布开放源码软件工具，这些工具可以重新格式化数据，并使更广泛的研究界能够对数据进行可视化、探索和建模，从而消除因相关项目之间的数据结构和格式不兼容而造成的障碍。一项案例研究分析将结合新的出生结果和飓风马修、迈克尔和佛罗伦萨的地下水污染数据。这项工作将展示以原始形式分析快速反应数据的价值，同时强调重新格式化数据并将其发布给科学界进行重新分析所带来的更广泛的知识益处。该奖项反映了NSF的法定使命，并已通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Rapid response research is critical to understanding community resilience in the face of coastal hazards, such as tropical storms and flooding events. Yet, on-the-ground data collection efforts following these events are often uncoordinated and occur in different locations with different data collection approaches. The proposed work will establish standards to help coordinate rapid response data collection following major disasters. A coordinated approach to these efforts will improve the research community's ability to analyze and understand the impacts that disasters have on human livelihoods and the policy responses that are likely to protect at-risk communities from disaster exposures and improve recoveries in disaster-stricken communities. This research will democratize large data sets, enabling PIs with reduced research capacity to utilize multiple data sources, in order to test hypotheses related to coastlines and people. Further, this project will train one graduate student as well as a recently graduated undergraduate student through the NCAR SOARS program, which helps to broaden the participation of underrepresented groups in the sciences.The multidisciplinary project (atmospheric science, economics, engineering, and epidemiology) aims to define and document several standardized data formats that could be useful for integrated hazard exposure and human impact research, as well as provide software tools and a case study of the use of these standardized data formats, aiming to increase the value of open access data repositories. The multidisciplinary team will develop and apply interface standards for coastal hazard exposure data that enable use with human impacts analysis. The project will identify common levels of temporal and spatial aggregation that are used for researching human impacts of coastal hazard exposures, which will improve the reproducibility of research in the context of coastlines and people. Open-source software tools that reformat and enable visualization, exploration, and modeling of data by the broader research community will then be developed and published, removing barriers that are created by incompatibilities in data structure and format across related projects. A case study analysis will combine novel birth outcomes and groundwater pollution datasets from Hurricanes Matthew, Michael and Florence. This exercise will display the value of analyzing rapid response data in its native form while highlighting the broader intellectual benefits from reformatting and releasing data to the scientific community for re-analysis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.