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Article

CWDAT—An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data

1
Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada
2
Department of Geography and Environmental Studies, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada
3
School of Planning, University of Waterloo, Waterloo, ON N2L 3G1, Canada
*
Author to whom correspondence should be addressed.
Academic Editors: Sultan Kocaman and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2021, 10(4), 207; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040207
Received: 2 February 2021 / Revised: 12 March 2021 / Accepted: 22 March 2021 / Published: 1 April 2021
(This article belongs to the Special Issue Citizen Science and Geospatial Capacity Building)
Citizen science initiatives span a wide range of topics, designs, and research needs. Despite this heterogeneity, there are several common barriers to the uptake and sustainability of citizen science projects and the information they generate. One key barrier often cited in the citizen science literature is data quality. Open-source tools for the analysis, visualization, and reporting of citizen science data hold promise for addressing the challenge of data quality, while providing other benefits such as technical capacity-building, increased user engagement, and reinforcing data sovereignty. We developed an operational citizen science tool called the Community Water Data Analysis Tool (CWDAT)—a R/Shiny-based web application designed for community-based water quality monitoring. Surveys and facilitated user-engagement were conducted among stakeholders during the development of CWDAT. Targeted recruitment was used to gather feedback on the initial CWDAT prototype’s interface, features, and potential to support capacity building in the context of community-based water quality monitoring. Fourteen of thirty-two invited individuals (response rate 44%) contributed feedback via a survey or through facilitated interaction with CWDAT, with eight individuals interacting directly with CWDAT. Overall, CWDAT was received favourably. Participants requested updates and modifications such as water quality thresholds and indices that reflected well-known barriers to citizen science initiatives related to data quality assurance and the generation of actionable information. Our findings support calls to engage end-users directly in citizen science tool design and highlight how design can contribute to users’ understanding of data quality. Enhanced citizen participation in water resource stewardship facilitated by tools such as CWDAT may provide greater community engagement and acceptance of water resource management and policy-making. View Full-Text
Keywords: citizen science; data quality; web application; water quality; community-based monitoring citizen science; data quality; web application; water quality; community-based monitoring
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MDPI and ACS Style

Gray, A.; Robertson, C.; Feick, R. CWDAT—An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data. ISPRS Int. J. Geo-Inf. 2021, 10, 207. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040207

AMA Style

Gray A, Robertson C, Feick R. CWDAT—An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data. ISPRS International Journal of Geo-Information. 2021; 10(4):207. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040207

Chicago/Turabian Style

Gray, Annie, Colin Robertson, and Rob Feick. 2021. "CWDAT—An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data" ISPRS International Journal of Geo-Information 10, no. 4: 207. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi10040207

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