check_dataset: Check a dataset for Darwin Core conformance

In corella: Prepare, Manipulate and Check Data to Comply with Darwin Core Standard

Check a dataset for Darwin Core conformance

Description

Run a test suite of checks to test whether a data.frame or tibble conforms to Darwin Core Standard.

While most users will only want to call suggest_workflow(), the underlying check functions are exported for detailed work, or for debugging. This function is useful for users experienced with Darwin Core Standard or for final dataset checks.

Usage

check_dataset(.df)

Arguments

.df	A tibble against which checks should be run

Details

check_dataset() is modelled after devtools::test(). It runs a series of checks, then supplies a summary of passed/failed checks and error messages.

Checks run by check_dataset() are the same that would be run automatically by various set_ functions in a piped workflow. This function allows users with only minor expected updates to check their entire dataset without the need for set_ functions.

Value

Invisibly returns the input data frame, but primarily called for the side-effect of running check functions on that input.

Examples

df <- tibble::tibble(
  scientificName = c("Crinia Signifera", "Crinia Signifera", "Litoria peronii"),
  latitude = c(-35.27, -35.24, -35.83),
  longitude = c(149.33, 149.34, 149.34),
  eventDate = c("2010-10-14", "2010-10-14", "2010-10-14"),
  status = c("present", "present", "present")
  )

# Run a test suite of checks for Darwin Core Standard conformance
# Checks are only run on columns with names that match Darwin Core terms
df |>
  check_dataset()

corella documentation built on April 4, 2025, 12:20 a.m.