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缺乏协调，而且是在不同地点进行的，数据收集方法也各不相同。拟议的工作将建立标准，以帮助协调重大灾害后的快速反应数据收集。 对这些努力采取协调一致的办法将提高研究界的能力，以分析和了解灾害对人类生计的影响，以及可能保护风险社区免受灾害影响和改善受灾社区恢复的政策反应。 这项研究将使大型数据集民主化，使研究能力下降的PI能够利用多种数据源，以测试与海岸线和人有关的假设。此外，该项目将通过NCAR SOARS方案培训一名研究生和一名最近毕业的本科生，该方案有助于扩大代表性不足的群体对科学的参与。（大气科学，经济学，工程学和流行病学）旨在定义和记录几种标准化数据格式，这些格式可能对综合危害暴露和人类影响研究有用，并提供软件工具和使用这些标准化数据格式的案例研究，旨在提高开放存取数据储存库的价值。多学科小组将制定和应用沿海灾害暴露数据的接口标准，以便与人类影响分析一起使用。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综合的共同水平，这将提高研究在海岸线和人的背景下的可重复性。然后将开发和发布开源软件工具，这些工具可以重新格式化并使更广泛的研究界能够对数据进行可视化、探索和建模，从而消除相关项目中数据结构和格式不兼容造成的障碍。案例研究分析将结合联合收割机新的出生结果和来自飓风马修，迈克尔和佛罗伦萨的地下水污染数据集。 这项工作将显示分析快速反应数据的价值，同时突出了更广泛的智力效益，从重新格式化和释放数据的科学界重新分析。这个奖项反映了NSF的法定使命，并已被认为是值得的支持，通过评估使用基金会的智力价值和更广泛的影响审查标准。

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.