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Article

A Framework for Water Security Data Gathering Strategies

1
School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
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Grupo de Estudios Ambientales, University of Cauca, Popayán, Calle 5 #4-70, 190003, Colombia
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Basic Sciences Faculty, Universidad Tecnológica de Bolívar, Km 1 Vía Turbaco, Cartagena 130011, Colombia
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School of Civil Engineering, University of Leeds City, West Yorkshire, Leeds LS2 9JT, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Fernando António Leal Pacheco
Water 2022, 14(18), 2907; https://doi.org/10.3390/w14182907
Received: 1 September 2022 / Revised: 13 September 2022 / Accepted: 14 September 2022 / Published: 17 September 2022
(This article belongs to the Section Water Use and Scarcity)
At the international level, the term “water security” (WS) has gained increasing attention in recent decades. At the operational level, WS is assessed using tools that define the concept using a variety of dimensions and sub-dimensions, with qualitative and quantitative indicators and parameters. The breadth of tools and concepts is an obstacle to the operationalisation of the concept of water security (WS). Clearly, we need a range of diverse data to evaluate water security (WS). However, there are several barriers to designing an optimal Data Gathering Strategy (DGS). Such a strategy must strike a balance between a wide range of competing and overlapping data requirements and characteristics including: resources, information, and impact. The proposed framework aims at filling the existing gaps, not by providing a strict procedure, but instead acting as a “compass”: five interfaces between data and context are identified to orient practitioners towards an optimal DGS. The conceptual aim of the framework can be summarised as shifting the focus of the DGS from a “data-to-information approach” to a “data-to-action approach,” therefore stressing the importance of reaching key stakeholders with information. The specific aims of this paper are to: identify the key issues that should be addressed in designing a Data Gathering Strategy for Water Security (DGSxWS); communicate the key issues with a clear conceptual framework; and suggest approaches and activities that could help water practitioners in dealing with the issues identified. View Full-Text
Keywords: water security; data gathering; minimum dataset; interdisciplinarity; systemic water security; data gathering; minimum dataset; interdisciplinarity; systemic
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MDPI and ACS Style

Butte, G.; Solano-Correa, Y.T.; Peppa, M.V.; Ruíz-Ordóñez, D.M.; Maysels, R.; Tuqan, N.; Polaine, X.; Montoya-Pachongo, C.; Walsh, C.; Curtis, T. A Framework for Water Security Data Gathering Strategies. Water 2022, 14, 2907. https://doi.org/10.3390/w14182907

AMA Style

Butte G, Solano-Correa YT, Peppa MV, Ruíz-Ordóñez DM, Maysels R, Tuqan N, Polaine X, Montoya-Pachongo C, Walsh C, Curtis T. A Framework for Water Security Data Gathering Strategies. Water. 2022; 14(18):2907. https://doi.org/10.3390/w14182907

Chicago/Turabian Style

Butte, Giacomo, Yady Tatiana Solano-Correa, Maria Valasia Peppa, Diana Marcela Ruíz-Ordóñez, Rachael Maysels, Nasser Tuqan, Xanthe Polaine, Carolina Montoya-Pachongo, Claire Walsh, and Thomas Curtis. 2022. "A Framework for Water Security Data Gathering Strategies" Water 14, no. 18: 2907. https://doi.org/10.3390/w14182907

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