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Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure
Attention is increasingly focused on the protection of water systems as critical infrastructure, including subsystems of supply, sanitation, hygiene, and management. Similarly increasing consideration is paid to the growing role and impact of data on water systems and management. We explore key chal...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846639/ https://www.ncbi.nlm.nih.gov/pubmed/36687772 http://dx.doi.org/10.3389/fdata.2022.1057155 |
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author | Hazell, Peter Novitzky, Peter van den Oord, Steven |
author_facet | Hazell, Peter Novitzky, Peter van den Oord, Steven |
author_sort | Hazell, Peter |
collection | PubMed |
description | Attention is increasingly focused on the protection of water systems as critical infrastructure, including subsystems of supply, sanitation, hygiene, and management. Similarly increasing consideration is paid to the growing role and impact of data on water systems and management. We explore key challenges associated with data-driven water systems as critical infrastructure. First, we describe the status of water infrastructure as a part of national critical infrastructure. Second, as this infrastructure increasingly relies on the constant flow of data from a huge variety, quality, and complexity of sensors, we provide a descriptive framework to map in detail the particular expertise needed across data-driven water management, applied to the UK water infrastructure as our use case. Third, through the framework of Capabilities Approach (CA) we analyze the specific challenges of data-driven water management, and argue that the current predominant narratives in the water infrastructure discourse have difficulties to effectively convey existing and emerging challenges. Fourth, we further demonstrate the widening gap between infrastructure services and consumer goods, arguing for increased convergence of the utilization of consumer data, and developing open data ecosystems. |
format | Online Article Text |
id | pubmed-9846639 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98466392023-01-19 Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure Hazell, Peter Novitzky, Peter van den Oord, Steven Front Big Data Big Data Attention is increasingly focused on the protection of water systems as critical infrastructure, including subsystems of supply, sanitation, hygiene, and management. Similarly increasing consideration is paid to the growing role and impact of data on water systems and management. We explore key challenges associated with data-driven water systems as critical infrastructure. First, we describe the status of water infrastructure as a part of national critical infrastructure. Second, as this infrastructure increasingly relies on the constant flow of data from a huge variety, quality, and complexity of sensors, we provide a descriptive framework to map in detail the particular expertise needed across data-driven water management, applied to the UK water infrastructure as our use case. Third, through the framework of Capabilities Approach (CA) we analyze the specific challenges of data-driven water management, and argue that the current predominant narratives in the water infrastructure discourse have difficulties to effectively convey existing and emerging challenges. Fourth, we further demonstrate the widening gap between infrastructure services and consumer goods, arguing for increased convergence of the utilization of consumer data, and developing open data ecosystems. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9846639/ /pubmed/36687772 http://dx.doi.org/10.3389/fdata.2022.1057155 Text en Copyright © 2023 Hazell, Novitzky and van den Oord. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Big Data Hazell, Peter Novitzky, Peter van den Oord, Steven Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
title | Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
title_full | Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
title_fullStr | Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
title_full_unstemmed | Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
title_short | Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
title_sort | socio-technical system analysis of responsible data sharing in water systems as critical infrastructure |
topic | Big Data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846639/ https://www.ncbi.nlm.nih.gov/pubmed/36687772 http://dx.doi.org/10.3389/fdata.2022.1057155 |
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