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A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
Water ( IF 3.4 ) Pub Date : 2021-04-29 , DOI: 10.3390/w13091235
Luke Waterman , Mónica Rivas Casado , Emma Bergin , Gary McInally

With increases in average temperature and rainfall predicted, more households are expected to be at risk of flooding in the UK by 2050. Data and technologies are increasingly playing a critical role across public-, private- and third-sector organisations. However, barriers and constraints exist across organisations and industries that limit the sharing of data. We examine the international context for data sharing and variations between data-rich and data-sparse countries. We find that local politics and organisational structures influence data sharing. We focus on the case study of the UK, and on geospatial and flood resilience data in particular. We use a series of semi-structured interviews to evaluate data sharing limitations, with particular reference to geospatial and flood resilience data. We identify barriers and constraints when sharing data between organisations. We find technological, security, privacy, cultural and commercial barriers across different use cases and data points. Finally, we provide three long-term recommendations to improve the overall accessibility to flood data and enhance outcomes for organisations and communities.

中文翻译:

英国共享地理空间和复原力洪水数据的障碍的混合方法调查

预计到2050年英国平均气温和降雨量会上升,预计会有更多家庭遭受洪灾的风险。数据和技术在公共,私营和第三部门组织中的作用日益重要。但是,组织和行业之间存在障碍和约束,限制了数据共享。我们研究了数据共享和数据稀疏国家之间数据共享和变化的国际背景。我们发现当地政治和组织结构会影响数据共享。我们专注于英国的案例研究,尤其是地理空间和洪水抗灾力数据。我们使用一系列半结构化访谈来评估数据共享的局限性,特别是参考地理空间和洪水抗灾力数据。我们在组织之间共享数据时确定障碍和约束。我们发现跨不同用例和数据点的技术,安全,隐私,文化和商业障碍。最后,我们提供了三个长期建议,以改善洪水数据的整体可访问性并提高组织和社区的成果。
更新日期:2021-04-29
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