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

2021 ◽  
Vol 10 (4) ◽  
pp. 207
Author(s):  
Annie Gray ◽  
Colin Robertson ◽  
Rob Feick

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.

HardwareX ◽  
2021 ◽  
pp. e00241
Author(s):  
Jiansheng Feng ◽  
Banafsheh Khakipoor ◽  
Jacob May ◽  
Melissa Mulford ◽  
Joshua Davis ◽  
...  

Author(s):  
S. Jovanovic ◽  
D. Carrion ◽  
M. A. Brovelli

<p><strong>Abstract.</strong> Citizen science is an efficient tool for data collection for scientific projects. In the framework of SIMILE Interreg Italy-Switzerland project, the citizen’s contribution to monitor the quality of lakes water has been envisaged. In the initial phase of this research, state of art of citizen science and water quality monitoring was investigated. The analysis of past and current projects, governed by different organizations and communities, pointed out a variety of tasks that can be accomplished by citizens. In these studies, authors stressed suitability of smartphones for the fulfilment of various assignments given to citizens. Due to that, in this research, different smartphone applications for water quality monitoring were tested and analyzed. Despite the fact that many applications for water quality monitoring are freely available, none of them is open source. Hence, this paper is proposing the design of a new application, for the purposes of SIMILE project, that will be free and open source, addressing not just users but also developers giving them a possibility for customization and improvement.</p>


2018 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Nicole Herman-Mercer ◽  
Ronald Antweiler ◽  
Nicole Wilson ◽  
Edda Mutter ◽  
Ryan Toohey ◽  
...  

2020 ◽  
Vol 728 ◽  
pp. 137843
Author(s):  
Anna San Llorente Capdevila ◽  
Ainur Kokimova ◽  
Saunak Sinha Ray ◽  
Tamara Avellán ◽  
Jiwon Kim ◽  
...  

2019 ◽  
Vol 38 (2) ◽  
pp. 342-351 ◽  
Author(s):  
Patricia Pérez-Belmont ◽  
Jannice Alvarado ◽  
Nallely Vázquez-Salvador ◽  
Erika Rodríguez ◽  
Elsa Valiente ◽  
...  

2017 ◽  
Vol 580 ◽  
pp. 168-177 ◽  
Author(s):  
David J. Farnham ◽  
Rebecca A. Gibson ◽  
Diana Y. Hsueh ◽  
Wade R. McGillis ◽  
Patricia J. Culligan ◽  
...  

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