RAPID: Investigating the Efficacy of Coordination of Damage Assessment Initiatives following the April 2015 Nepal Earthquake

RAPID：调查 2015 年 4 月尼泊尔地震后损失评估举措协调的有效性

• 批准号: 1548217
• 负责人: John Bevington
• 金额: $ 4.96万
• 依托单位: ImageCat, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-08-15 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1548217&HistoricalAwards=false
• 关键词: RAPID; Investigating; Efficacy; Coordination; Damage

The April 2015 Nepal earthquake has resulted in a large number of local, national and international damage data collection efforts. Many organizations involved have a long history of responding to natural disasters and do so with a mandate from the national government or other recognized organization. There are other efforts that have emerged for the Nepal event that are not as coordinated, resulting in confusion to a variety of end-users as to the veracity, technical rigor, or openness of the data. This Rapid Response Research (RAPID) project aims to take a view on the damage datasets generated since the earthquake and assess the impact of each dataset in terms of the objectives and eventual end-use. This information will feed the development of data quality benchmarking criteria that can be used by any data collection effort following disaster events. The eventual impact is to reduce the uncertainty in future datasets and support the end-user to better understand the purpose, pedigree and appropriateness of the data for their specific use case. The project will collect data from a number of sources and bring together a database of damage data for Nepal. In-country interviews with data suppliers and end-users will help the understanding of the impact of each dataset. Finally, criteria of best-practice will be generated to help inform users understand and compare data in future events. With evermore increasing technical capabilities for data collection, advancement of data processing, storage and online sharing, it is clear that the demand for open standards and interoperability is increasing. Therefore, it is crucial that data quality measures are clear and accessible to help openly compare data and reduce uncertainty to avoid unintended misuse of damage datasets.

2015年4月尼泊尔地震导致了大量的地方、国家和国际损失数据收集工作。 许多参与的组织在应对自然灾害方面有着悠久的历史，并在国家政府或其他公认组织的授权下这样做。 尼泊尔事件中出现的其他努力并不协调，导致各种最终用户对数据的真实性，技术严谨性或开放性感到困惑。 这个快速反应研究项目的目的是了解地震以来产生的损害数据集，并评估每个数据集在目标和最终用途方面的影响。 这些信息将有助于制定数据质量基准标准，供灾害事件后的任何数据收集工作使用。 最终的影响是减少未来数据集的不确定性，并支持最终用户更好地了解数据的目的，谱系和适用性。 该项目将从多个来源收集数据，并汇集一个尼泊尔损失数据库。 与数据提供者和最终用户的国内访谈将有助于了解每个数据集的影响。 最后，将制定最佳做法标准，以帮助用户了解和比较未来活动中的数据。 随着数据收集技术能力的不断提高，数据处理、存储和在线共享的进步，对开放标准和互操作性的需求显然在增加。 因此，至关重要的是，数据质量措施必须明确和可访问，以帮助公开比较数据并减少不确定性，以避免意外滥用损害数据集。