R packages for data quality

What’s already out there

packages

Author

Martin Westgate

Published

April 17, 2026

There are a bunch of R packages available for getting biodiversity data. It is worth saying, first of all, that the data aggregators themselves do a lot of work on data quality. GBIF and the living atlases have systems that tag (and sometimes, alter) records as having various problems. Therefore galah and rgbif are relevant resources here; but that’s a topic for a different time. This page is focussed on R packages that have cleaning biodiversity data as their central purpose, or include a cleaning component as part of some wider workflow.

Table 1: R packages for data quality listed on CRAN

Package	Updated	Documentation	DOI
CoordinateCleaner	24/10/2023	ropensci.github.io/CoordinateCleaner/index.html	10.1111/2041-210X.13152
bdc	24/1/2026	brunobrr.github.io/bdc/index.html	10.1111/2041-210X.13868
BeeBDC	6/2/2026	jbdorey.github.io/BeeBDC/	10.1038/s41597-023-02626-w
gatoRs	17/5/2024	nataliepatten.github.io/gatoRs/	NA
RuHere	17/2/2026	wevertonbio.github.io/RuHere/	10.64898/2026.02.02.703373