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A collection of packages that form a general framework for facilitating biodiversity science in R.
To develop a sustainable and agile infrastructure that enhances the value of biodiversity data by allowing users to conveniently employ R, for data exploration, quality assessment, data cleaning, and standardization.
- To advance user level data exploration and cleaning of biodiversity data in R.
- To support users with- and without programming capabilities.
- To promote implementation of biodiversity standards, methodology and tools being developed by the Biodiversity Informatics community.
- To enrich both the biodiversity research community and the R users community.
![](assets/images/project overview.png) *GSoC stands for Google Summer of Code
Building and maintaining the bdverse
is like building a ‘house of cards’, due to the massive dependencies between dozens of R packages. We bare this in mind going into any development task.
Our plans for the next few months, before officially launching the bdverse
:
- Our focal point for the near future is QA+CI+GUI. Our efforts will be focused on developing a robust quality assurance (QA) framework; implementing continuous integration (CI) across the
bdverse
, and enhancing the GUI as much as possible. - We will construct the
bdverse
package, that will install allbdverse
features using a single code line:install.packages("bdverse")
. - We are working on submitting the released bdverse packages to rOpenSci software review as soon as the packages meet core requirements.
- We also hope to implement Shiny modules (trials will start soon).
- We will upgrade the
bdverse
website, to better showcase the differentbdverse
features to users, and to give it a more sleek look.
Our plans for the second development phase are:
- To identify key missing features, and address them using three GSoC projects.
- To establish one or two more GSoC project, that will be devoted to purely experimental challenges.