2022
DOI: 10.1080/02626667.2022.2150380
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Editorial – Operational, epistemic and ethical value chaining of hydrological data to knowledge and services: a watershed moment

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Cited by 3 publications
(1 citation statement)
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“…Scientific outcomes in terms of methodology have always had a high innovative potential for different end-users including operational hydrometeorological entities, water management institutions, and policy makers. The translation of methods into Services (WMO, 2015) is a major challenge which can be inscribed in the hydro-informatic side of Open Science (UNESCO, 2021; Cudennec et al, 2022b) in terms of data FAIRness and relevance (see Cudennec et al, 2020 on FAIR and SQUARE data;Pecora and Lins, 2020 on e-monitoring the nature of water; Hall et al, 2022), of efficient workflows and chainings (Cudennec et al, 2022a), and of operationalization and assimilation of innovations (Dixon et al, 2022). The scientific work is naturally valued through scientific publications with its own rules and metrics, yet the translation into innovation towards end-users needs to go beyond scientific publications and bibliometrics (Cudennec and Hubert, 2008;Koutsoyiannis et al, 2016;Cudennec et al, 2022b).…”
Section: Introductionmentioning
confidence: 99%
“…Scientific outcomes in terms of methodology have always had a high innovative potential for different end-users including operational hydrometeorological entities, water management institutions, and policy makers. The translation of methods into Services (WMO, 2015) is a major challenge which can be inscribed in the hydro-informatic side of Open Science (UNESCO, 2021; Cudennec et al, 2022b) in terms of data FAIRness and relevance (see Cudennec et al, 2020 on FAIR and SQUARE data;Pecora and Lins, 2020 on e-monitoring the nature of water; Hall et al, 2022), of efficient workflows and chainings (Cudennec et al, 2022a), and of operationalization and assimilation of innovations (Dixon et al, 2022). The scientific work is naturally valued through scientific publications with its own rules and metrics, yet the translation into innovation towards end-users needs to go beyond scientific publications and bibliometrics (Cudennec and Hubert, 2008;Koutsoyiannis et al, 2016;Cudennec et al, 2022b).…”
Section: Introductionmentioning
confidence: 99%