New, flexible and open-source fisheries self-reporting app: The Shiny4SelfReport
Visualitza/Obre
10.1016/j.softx.2021.100843
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/373931
Tipus de documentArticle
Data publicació2021-12
Condicions d'accésAccés obert
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continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement 4.0 Internacional
Abstract
Self-reporting applications are considered a promising solution for fisheries data monitoring. However, they are still failing in providing accurate information and engaging users. We introduce the Shiny4SelfReport, an application for self-reporting data in fisheries that aims to address these shortcomings. Instead of using expensive proprietary software, we demonstrate how common and affordable technologies can be used to fill gaps in fisheries management of developing nations. The tool, developed in R, works by gathering fishers’ inputs and storing them in the cloud. It was designed to be simple and adaptable. Our application improves the data assembly on small-scale fisheries, provides fishers’ engagement and data accuracy, and may integrate fisheries’ knowledge worldwide while filling the gaps on data-poor fisheries. The app is available at http://triatlas.shinyapps.io/Shiny4SelfReport under a General Public License (GPLv3).
CitacióMesquita, E. [et al.]. New, flexible and open-source fisheries self-reporting app: The Shiny4SelfReport. "SoftwareX", Desembre 2021, vol. 16.
ISSN2352-7110
Versió de l'editorhttps://www.sciencedirect.com/science/article/pii/S2352711021001254
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1-s2.0-S2352711021001254-main.pdf | Article | 1,465Mb | Visualitza/Obre |