bdverse: biodiversity data quality toolkit - 2020 Shiny Contest Submission

bdverse: biodiversity data quality toolkit

Authors: Tomer Gueta, Thiloshon Nagarajah, Povilas Gibas, Vijay Barve, Rahul Chauhan and Yohay Carmel
Working with Shiny more than 1 year

Abstract: The bdverse is a family of R packages that allow users to conveniently employ R, for biodiversity data exploration, quality assessment, data cleaning, and standardization. It consists of several unique packages in a hierarchical structure — representing different functionality levels and tools. We designed it to support different user needs and programming capabilities. Our Shiny apps are all modularized, which allows us to use the same module in many apps (e.g., data download/upload; package citations; Darwinization), and to truly enjoy a plug-and-play capability.


Category: Research
Keywords: Biodiversity Informatics; Data Quality; Data Cleaning; Biodiversity Research
Shiny app: https://bdverse.shinyapps.io/bdverse/
Repo: https://github.com/bd-R
RStudio Cloud: https://rstudio.cloud/project/1104502

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Website: https://bdverse.org/

remotes::install_github("bd-R/bdverse")
library(bdverse)
bdverse::bdverse_app()  # apps launcher

# OR
bddwc.app::bddwc_app() # bddwc app
bdchecks.app::bdchecks_app() # bdchecks app
bdclean::bdclean_app() # bdclean app
dashboard.demo::run_app() # bddashboard demo

bdverse packages:


Shiny modules architecture:


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