CWDAT—An Open-Source Tool for the Visualization and Analysis of Community-Generated Water Quality Data
Bibliographic Data
| ID | 22033048 |
|---|---|
| Authors | Annie Gray (University of Waterloo, corresponding author), Colin Robertson (0000-0003-0998-2971, Wilfrid Laurier University), Rob Feick (0000-0003-1061-9045, University of Waterloo) |
| Year | 2021 |
| Volume | 10 |
| Issue | 4 |
| Pages | 207 |
| Publication date | 2021-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10040207 |
| OpenAlex | W3148554408 |
| Language | EN |
| References cited | 44 |
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
Business · Citizen science · Community engagement · Data quality · Data science · Geography · Knowledge management · Political science · Process management · Public relations · Visualization · Computer Science · Data Visualization and Analytics · Geographic Information Systems Studies · Species Distribution and Climate Change
Indigenous Data Sovereignty
Crowdsourcing Geographic Knowledge
Next Steps for Citizen Science
Assuring the quality of volunteered geographic information
A review of citizen science and community-based environmental monitoring
Assessing data quality in citizen science
A review of volunteered geographic information quality assessment methods
Knowledge Gain and Behavioral Change in Citizen-Science Programs
Citizen Science in the Age of Neogeography
Adaptive Management and Social Learning in Collaborative and Community-Based Monitoring
Boundary Objects and the Social Construction of GIS Technology
| Highly cited | No |
|---|