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Article

A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK

1
School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UK
2
Flood Re, 75 King William Street, London EC4N 7BE, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Athanasios Loukas
Water 2021, 13(9), 1235; https://doi.org/10.3390/w13091235
Received: 15 March 2021 / Revised: 25 April 2021 / Accepted: 26 April 2021 / Published: 29 April 2021
(This article belongs to the Special Issue Environmental Risk Management)
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. View Full-Text
Keywords: flood risk management; technology; data sharing; community resilience; property flood resilience flood risk management; technology; data sharing; community resilience; property flood resilience
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MDPI and ACS Style

Waterman, L.; Rivas Casado, M.; Bergin, E.; McInally, G. A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK. Water 2021, 13, 1235. https://doi.org/10.3390/w13091235

AMA Style

Waterman L, Rivas Casado M, Bergin E, McInally G. A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK. Water. 2021; 13(9):1235. https://doi.org/10.3390/w13091235

Chicago/Turabian Style

Waterman, Luke, Mónica Rivas Casado, Emma Bergin, and Gary McInally. 2021. "A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK" Water 13, no. 9: 1235. https://doi.org/10.3390/w13091235

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