bdc_summary_col

This function creates or updates the column ".summary" summarizing the
results of data quality tests (i.e., columns starting with "."). Records that
have failed in at least one test are flagged for further inspection (i.e.,
flagged as "FALSE") in the ".summary" column.

It brings together several aspects of biodiversity
data-cleaning in one place. 'bdc' is organized in thematic modules
related to different biodiversity dimensions, including 1) Merge
datasets: standardization and integration of different datasets; 2)
pre-filter: flagging and removal of invalid or non-interpretable
information, followed by data amendments; 3) taxonomy: cleaning,
parsing, and harmonization of scientific names from several taxonomic
groups against taxonomic databases locally stored through the
application of exact and partial matching algorithms; 4) space:
flagging of erroneous, suspect, and low-precision geographic
coordinates; and 5) time: flagging and, whenever possible, correction
of inconsistent collection date. In addition, it contains
features to visualize, document, and report data quality – which is
essential for making data quality assessment transparent and
reproducible. The reference for the methodology is Ribeiro and colleagues (2022)
<doi:10.1111/2041-210X.13868>.

Bruno Ribeiro

Biodiversity Data Cleaning

Santiago Velazco

Karlo Guidoni-Martins

Geiziane Tessarolo

Lucas Jardim

Steven Bachman

Rafael Loyola

bdc_summary_col function

<dl><dt>data</dt>
<dd>data.frame. Containing the results of data quality tests (i.e.,
columns starting with ".").</dd></dl>

Arguments

Create or update the column summarizing the results of data quality tests — bdc_summary_col

<dl>

<dt>data</dt>
<dd>data.frame. Containing the results of data quality tests (i.e.,
columns starting with ".").</dd>

</dl>

bdc_summary_col: Create or update the column summarizing the results of data quality tests

Description

Usage

Value

Arguments

Details

Examples