Crowdsourcing Water Quality Data : A Conceptual Framework

Using mobile phone technologies coupled with water quality testing, there is great opportunity to increase the awareness of water quality throughout rural and urban communities in developing countries. Whether the focus is on empowering citizens wi...

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Main Author:	World Bank
Format:	Working Paper
Language:	English en_US
Published:	World Bank, Washington, DC 2016
Subjects:	citizen participation crowdsourcing project design water quality indicators needs assessment mobile apps water screening reporting
Online Access:	http://documents.worldbank.org/curated/en/136211480682845472/Crowdsourcing-water-quality-data-a-conceptual-framework http://hdl.handle.net/10986/25755

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recordtype	oai_dc
spelling	okr-10986-257552021-05-25T08:56:17Z Crowdsourcing Water Quality Data : A Conceptual Framework World Bank citizen participation crowdsourcing project design water quality indicators needs assessment mobile apps water screening reporting Using mobile phone technologies coupled with water quality testing, there is great opportunity to increase the awareness of water quality throughout rural and urban communities in developing countries. Whether the focus is on empowering citizens with information about the quality of water they use in daily life or providing scientific data to water managers to help them deliver safe water to the citizens, the integration of citizen science, crowdsourcing, and innovative technologies has the potential to create positive and lasting change. The methodology presented herein combines empowerment of the public through participation in the scientific process (citizen science) with modern technologies to collect, gather, and disseminate data (crowdsourcing). By employing a crowdsourcing approach with innovative technologies, there is potential to harness large amounts of data in areas previously considered either too remote or costly to access. The purpose of this conceptual framework is to outline the considerations and activities to be undertaken for a successful water quality monitoring project using citizen science and crowdsourcing. Specifically included in the framework are: (1) the research question to be answered through the project; (2) the theory of change that will lead to desired outcomes; (3) project design considerations to promote a successful pilot; and (4) the methodology outlining implementation steps. 2016-12-15T19:42:16Z 2016-12-15T19:42:16Z 2016-11 Working Paper http://documents.worldbank.org/curated/en/136211480682845472/Crowdsourcing-water-quality-data-a-conceptual-framework http://hdl.handle.net/10986/25755 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper South Asia
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English en_US
topic	citizen participation crowdsourcing project design water quality indicators needs assessment mobile apps water screening reporting
spellingShingle	citizen participation crowdsourcing project design water quality indicators needs assessment mobile apps water screening reporting World Bank Crowdsourcing Water Quality Data : A Conceptual Framework
geographic_facet	South Asia
description	Using mobile phone technologies coupled with water quality testing, there is great opportunity to increase the awareness of water quality throughout rural and urban communities in developing countries. Whether the focus is on empowering citizens with information about the quality of water they use in daily life or providing scientific data to water managers to help them deliver safe water to the citizens, the integration of citizen science, crowdsourcing, and innovative technologies has the potential to create positive and lasting change. The methodology presented herein combines empowerment of the public through participation in the scientific process (citizen science) with modern technologies to collect, gather, and disseminate data (crowdsourcing). By employing a crowdsourcing approach with innovative technologies, there is potential to harness large amounts of data in areas previously considered either too remote or costly to access. The purpose of this conceptual framework is to outline the considerations and activities to be undertaken for a successful water quality monitoring project using citizen science and crowdsourcing. Specifically included in the framework are: (1) the research question to be answered through the project; (2) the theory of change that will lead to desired outcomes; (3) project design considerations to promote a successful pilot; and (4) the methodology outlining implementation steps.
format	Working Paper
author	World Bank
author_facet	World Bank
author_sort	World Bank
title	Crowdsourcing Water Quality Data : A Conceptual Framework
title_short	Crowdsourcing Water Quality Data : A Conceptual Framework
title_full	Crowdsourcing Water Quality Data : A Conceptual Framework
title_fullStr	Crowdsourcing Water Quality Data : A Conceptual Framework
title_full_unstemmed	Crowdsourcing Water Quality Data : A Conceptual Framework
title_sort	crowdsourcing water quality data : a conceptual framework
publisher	World Bank, Washington, DC
publishDate	2016
url	http://documents.worldbank.org/curated/en/136211480682845472/Crowdsourcing-water-quality-data-a-conceptual-framework http://hdl.handle.net/10986/25755
_version_	1764460067450519552

Crowdsourcing Water Quality Data : A Conceptual Framework

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