Returns column names, types, and descriptions for a given r4subdata dataset.
Examples
dataset_dictionary("evidence_pharma")
#> # A tibble: 17 × 3
#> column type description
#> <chr> <chr> <chr>
#> 1 run_id character Unique run identifier
#> 2 study_id character Study identifier (CDISCPILOT01)
#> 3 asset_type character Asset type: dataset, define, program, validation,…
#> 4 asset_id character Asset identifier (e.g., ADSL, define.xml)
#> 5 source_name character Source of the evidence (e.g., pinnacle21, r4subtr…
#> 6 source_version character Version of the source tool
#> 7 indicator_id character Indicator identifier (e.g., Q-MISS-VAR)
#> 8 indicator_name character Human-readable indicator name
#> 9 indicator_domain character Indicator domain: quality, trace, risk, usability
#> 10 severity character Severity level: info, low, medium, high, critical
#> 11 result character Check result: pass, fail, warn, na
#> 12 metric_value numeric Numeric metric value (if applicable)
#> 13 metric_unit character Unit for metric_value
#> 14 message character Descriptive message for the evidence row
#> 15 location character Location reference (e.g., ADSL:AGE)
#> 16 evidence_payload character JSON payload with additional details
#> 17 created_at POSIXct Timestamp when evidence was created
dataset_dictionary("adam_metadata")
#> # A tibble: 6 × 3
#> column type description
#> <chr> <chr> <chr>
#> 1 dataset character ADaM dataset name (ADSL, ADAE, ADLB)
#> 2 variable character Variable name
#> 3 label character Variable label
#> 4 type character Variable type (Char or Num)
#> 5 length integer Variable length
#> 6 format character SAS format