Normalizes the accepted metadata inputs into a single tidy table with one row
per dataset variable. A metacore object is unpacked
into its dataset, variable, and derivation components; a data.frame is checked
for the required dataset and variable columns and completed with any
missing optional columns.
as_variable_metadata(metadata)A tibble with columns dataset, variable,
label, type, origin, derivation, and is_derived.
# The example ADaM metadata shipped in r4subdata.
meta <- as_variable_metadata(r4subdata::adam_metadata)
head(meta)
#> # A tibble: 6 × 7
#> dataset variable label type origin derivation is_derived
#> <chr> <chr> <chr> <chr> <chr> <chr> <lgl>
#> 1 ADSL STUDYID Study Identifier Char NA NA FALSE
#> 2 ADSL USUBJID Unique Subject Identifier Char NA NA FALSE
#> 3 ADSL SUBJID Subject Identifier Char NA NA FALSE
#> 4 ADSL SITEID Study Site Identifier Char NA NA FALSE
#> 5 ADSL AGE Age Num NA NA FALSE
#> 6 ADSL AGEU Age Units Char NA NA FALSE