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Summary
EditUnder reviewWhat this benchmark meansREADME.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: carry the age and sex (AGE, SEX) of each subject onto the
subject-level analysis dataset, and submit it.
Input: collected demographics, one record per subject.
Variables:
AGEis the age in years as collected.SEXis the sex as collected.
Note: tabulation and analysis datasets are submitted with separate data definitions, each describing the datasets of one CDISC model. The study lists this analysis dataset with its tabulation datasets, so composing their data definition is rejected before any document is written; the dataset itself still builds.
How to fix
List the dataset with the analysis datasets, which the analysis implementation guide describes:
adam:
standards:
- {name: ADaMIG, version: "1.3", status: Final}
specs:
- spec.yaml
define: define.xml
If the dataset is meant to be a tabulation domain instead, declare
model: SDTM and give it the tabulation metadata that model requires.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- validation
- condition
- standard_model_mismatch
- rule
- SUB-3
expected/error.yaml
phase: validation
condition: standard_model_mismatch
spec_paths:
- sdtm.specs[0].model
rule: SUB-3
context:
value: ADaM
model: SDTM
section: sdtm
Inputs
Under review1 source fileinput/dm.csv
Edit2 rows| STUDYID | USUBJID | AGE | SEX |
|---|---|---|---|
| CATH | 34 | F | |
| CATH | 67 | M |
Unexpected Output
Under review2 rows presented to the failing check - not an accepted artifactexpected/adsl.csv
Edit2 rows| STUDYID | USUBJID | AGE | SEX |
|---|---|---|---|
| CATH | 34 | F | |
| CATH | 67 | M |
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Computational Method | Origin |
|---|---|---|---|---|---|---|---|
| ADSL | STUDYID | Study Identifier | character | Req | Copy value from DM.STUDYID. | Predecessor | |
| ADSL | USUBJID | Unique Subject Identifier | character | Req | Copy value from DM.USUBJID. | Predecessor | |
| ADSL | AGE | Age | numeric | Req | Copy value from DM.AGE. | Predecessor | |
| ADSL | SEX | Sex | character | Req | Copy value from DM.SEX. | 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 |