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Summary
EditUnder reviewWhat this benchmark meansREADME.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: record AGE for every subject from the collected
demographics, requiring a value for each subject.
Input: collected demographics carrying age (AGE).
Variables:
AGEwould be the subject's age, copied from the collected records.
Note: a subject with no recorded age leaves it missing, so the check on the completed dataset fails and no artifact is accepted.
How to fix
Decide whether the study can proceed without the value, then either correct
the data or loosen the rule. When the age exists on the case report form,
correct it at the governed source and rerun. When absence is genuinely
possible, drop the not_missing check and let that subject's age stay
missing:
- name: AGE
type: int
label: Age
derivation: DM.AGE
Do not fill the gap with a placeholder age, which reports a value nobody recorded.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- verification
- condition
- not_missing_failed
- rule
- CHECK-5
expected/error.yaml
phase: verification
condition: not_missing_failed
spec_paths:
- columns.AGE.verifications[0].not_missing
rule: CHECK-5
context:
column: AGE
failure_count: 1
keys:
- STUDYID: PILOT7
USUBJID: P7-812
Inputs
Under review1 source fileinput/dm.csv
Edit2 rows| STUDYID | USUBJID | AGE |
|---|---|---|
| PILOT7 | 54 | |
| PILOT7 | — |
Unexpected Output
Under reviewNo artifact is producedNo fixture files in this directory.
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Computational Method | Origin |
|---|---|---|---|---|---|---|---|
| ADSL | STUDYID | Study Identifier | character | Copy value from DM.STUDYID. | Predecessor | ||
| ADSL | USUBJID | Unique Subject Identifier | character | Copy value from DM.USUBJID. | Predecessor | ||
| ADSL | AGE | Age | numeric | Copy value from DM.AGE. | Predecessor |
| Version | Date | Author | Description | Reviewer | Sign-off |
|---|---|---|---|---|---|
| 1.7 | 2026-10-20 | yamaa docs build | Read a specification in the 1.0 surface as its 0.5 counterpart; state that missing values stay missing where a mapping declares no missing handler, and leave out a declared missing answer that restates a handler's default | ||
| 1.6 | 2026-10-17 | yamaa docs build | Describe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight | ||
| 1.5 | 2026-10-17 | yamaa docs build | Name collected precision in words instead of letter codes; state imputation fallbacks, minimum source precision, bounds ignored outside the collected period, and invalid text with no handler as an error; describe date and datetime shifts, imputation flag codes, and partial text giving no date part | ||
| 1.4 | 2026-10-15 | yamaa docs build | State datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks | ||
| 1.3 | 2026-09-29 | yamaa docs build | Show study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata | ||
| 1.2 | 2026-09-29 | yamaa docs build | Classify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived | ||
| 1.1 | 2026-09-29 | yamaa docs build | Resolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML | ||
| 1.0 | yamaa docs build | Initial generation from spec.yaml |