A realistic evidence table for study CDISCPILOT01 (Clinical Data Interchange Standards Consortium Pilot Study 01) covering all four R4SUB (R for Regulatory Submission) pillars (quality, trace, risk, usability) with 250 rows and 18 indicators across multiple datasets and sources.
Format
A tibble with 250 rows and 17 columns:
- run_id
Character. Unique run identifier.
- study_id
Character. Study identifier (CDISCPILOT01).
- asset_type
Character. Asset type: dataset, define, program, validation, spec, other.
- asset_id
Character. Asset identifier (e.g., ADSL, define.xml).
- source_name
Character. Source of the evidence (e.g., pinnacle21).
- source_version
Character. Version of the source tool.
- indicator_id
Character. Indicator identifier (e.g., Q-MISS-VAR).
- indicator_name
Character. Human-readable indicator name.
- indicator_domain
Character. Domain: quality, trace, risk, usability.
- severity
Character. Severity: info, low, medium, high, critical.
- result
Character. Result: pass, fail, warn, na.
- metric_value
Numeric. Metric value (if applicable).
- metric_unit
Character. Unit for metric_value.
- message
Character. Descriptive message.
- location
Character. Location reference (e.g., ADSL:AGE).
- evidence_payload
Character. JSON payload with additional details.
- created_at
POSIXct. Timestamp when evidence was created.
Source
Synthetic data based on the CDISC (Clinical Data Interchange Standards Consortium) Pilot Study 01 structure.
Examples
data(evidence_pharma)
head(evidence_pharma)
#> # A tibble: 6 × 17
#> run_id study_id asset_type asset_id source_name source_version indicator_id
#> <chr> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 R4S-2025… CDISCPI… dataset ADSL pinnacle21 1.0.0 Q-VALUE-RAN…
#> 2 R4S-2025… CDISCPI… dataset ADCM pinnacle21 1.0.0 R-MITIGATIO…
#> 3 R4S-2025… CDISCPI… dataset ADLB manual_rev… 1.0.0 Q-TYPE-MISM…
#> 4 R4S-2025… CDISCPI… dataset ADCM manual_rev… 1.0.0 Q-REF-INTEG…
#> 5 R4S-2025… CDISCPI… dataset ADCM r4subrisk 1.0.0 Q-CT-COMPLI…
#> 6 R4S-2025… CDISCPI… dataset LB define_che… 1.0.0 T-ORPHAN-VAR
#> # ℹ 10 more variables: indicator_name <chr>, indicator_domain <chr>,
#> # severity <chr>, result <chr>, metric_value <dbl>, metric_unit <chr>,
#> # message <chr>, location <chr>, evidence_payload <chr>, created_at <dttm>
table(evidence_pharma$indicator_domain)
#>
#> quality risk trace usability
#> 120 39 47 44