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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Format: | Article |
Language: | English |
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MDPI AG
2021-04-01
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Series: | Water |
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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. |
first_indexed | 2024-03-10T11:50:49Z |
format | Article |
id | doaj.art-1be37a3168744f3f948743889e012c75 |
institution | Directory Open Access Journal |
issn | 2073-4441 |
language | English |
last_indexed | 2024-03-10T11:50:49Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Water |
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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