Clean OFH Data Dictionary

Cleans and standardizes an OFH data dictionary table by validating structure, fixing data types, and ensuring consistent formatting.

Usage

clean_data_dictionary(data_dictionary)

Arguments

data_dictionary

data.table containing data dictionary information with columns: entity, name, type, primary_key_type, coding_name, is_sparse_coding, is_multi_select, referenced_entity_field, relationship, folder_path, title, units, description, category, file, file_name, level, field_type, vcf_field, values

Value

data.table with cleaned data dictionary

Details

This function processes a data dictionary to: 1. Validate required column structure 2. Fix is_multi_select column to use TRUE/FALSE instead of TRUE/NA 3. Correct column type documentation (columns documented as integer are actually strings)

Examples

if (FALSE) { # \dontrun{
# Clean a data dictionary
# cleaned_dict <- clean_data_dictionary(my_data_dictionary)
} # }