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

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 acro...

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Main Authors: Luke Waterman, Mónica Rivas Casado, Emma Bergin, Gary McInally
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/9/1235
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author Luke Waterman
Mónica Rivas Casado
Emma Bergin
Gary McInally
author_facet Luke Waterman
Mónica Rivas Casado
Emma Bergin
Gary McInally
author_sort Luke Waterman
collection DOAJ
description 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.
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spelling doaj.art-1be37a3168744f3f948743889e012c752023-11-21T17:43:45ZengMDPI AGWater2073-44412021-04-01139123510.3390/w13091235A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UKLuke Waterman0Mónica Rivas Casado1Emma Bergin2Gary McInally3School of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UKSchool of Water, Energy and Environment, Cranfield University, College Road, Cranfield, Bedfordshire MK43 0AL, UKFlood Re, 75 King William Street, London EC4N 7BE, UKFlood Re, 75 King William Street, London EC4N 7BE, UKWith 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.https://www.mdpi.com/2073-4441/13/9/1235flood risk managementtechnologydata sharingcommunity resilienceproperty flood resilience
spellingShingle Luke Waterman
Mónica Rivas Casado
Emma Bergin
Gary McInally
A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
Water
flood risk management
technology
data sharing
community resilience
property flood resilience
title A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
title_full A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
title_fullStr A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
title_full_unstemmed A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
title_short A Mixed-Methods Investigation into Barriers for Sharing Geospatial and Resilience Flood Data in the UK
title_sort mixed methods investigation into barriers for sharing geospatial and resilience flood data in the uk
topic flood risk management
technology
data sharing
community resilience
property flood resilience
url https://www.mdpi.com/2073-4441/13/9/1235
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