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P.I. Charter: A Shiny Application for Collecting, Cleaning, Compiling, and Communicating Point-Intercept Aquatic
Alex W Bajcz1, Daniel J Larkin1, Michael R Verhoeven1
1Department of Fisheries, Wildlife and Conservation Biology and Minnesota Aquatic Invasive Species Research Center University of Minnesota-Twin Cities St. Paul Minnesota USA.
P.I. Charter, an R Shiny web application, simplifies the collection and unification of disparate aquatic plant survey data. This tool enhances ecological research accessibility and data utilization for environmental management and scientific inquiry.
Area of Science:
- Ecology
- Environmental Science
- Data Science
Background:
- Ecological research is often hindered by the difficulty in discovering and unifying data collected by various entities for diverse purposes.
- Disparate data collection methods and formats impede comprehensive analysis of complex ecological questions.
- Web applications offer a potential solution for data aggregation, cleaning, and programmatic combination.
Purpose of the Study:
- To introduce P.I. Charter, an R Shiny web application designed for soliciting, tidying, compiling, and sharing point-intercept (PI) aquatic plant survey data.
- To outline the app's features, emphasizing ease of use, accessibility, education, open access, and user experience.
- To demonstrate the utility of the P.I. Charter database for ecological planning, invasion surveillance, species-environment relationship investigation, and long-term community composition analysis.
Main Methods:
- Development of an R Shiny web application (P.I. Charter) as a submission portal for aquatic plant survey data.
- Implementation of data cleaning and programmatic compilation processes within the web application.
- Collection and analysis of user engagement metrics (visitors, submissions) and user satisfaction data.
Main Results:
- P.I. Charter has successfully received thousands of visitors and hundreds of data submissions since its launch.
- The application allows familiar contributors to submit surveys efficiently, reporting high user satisfaction.
- Four case studies illustrate the database's potential for advancing ecological research and management strategies.
Conclusions:
- Web applications like P.I. Charter can revolutionize data aggregation from disparate sources, maximizing the use of collected data for ecological questions.
- Developing complex, science-focused web applications using R Shiny presents challenges, particularly in achieving digital accessibility.
- The P.I. Charter experience serves as a valuable model for other initiatives aiming to consolidate and leverage environmental data.
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