As a clinical trial statistician or programmer, answer two short questions in Your review: the task and the inputs. Agreeing with both approves this benchmark; disagreeing with either needs a comment. Propose a fix with the Edit button on any source file, or add it to your comments.
We suggest spending no more than 5 minutes on a review. The other tabs beside Your review are background for assessment, not under review.
Summary
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: carry each subject's age (AGE) onto the subject-level analysis
dataset.
Input: collected demographics, one record per subject.
Variables:
AGEis the age in years as demographics records it.
Note: the age is described both as copied unchanged from demographics and as derived by the sponsor. A value copied from an earlier dataset has that one provenance, so the description contradicts itself and the dataset is rejected before any data is read.
How to fix
The age is read unchanged from demographics, so describe it as a copy alone and drop the method a copy does not need:
origins:
- type: Predecessor
description: DM.AGE
If some ages are computed instead, for example from the birth date when demographics records none, the value is no longer a plain copy: describe it as derived, with the method that computes it.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- validation
- condition
- conflicting_origins
- rule
- SUB-14
expected/error.yaml
phase: validation
condition: conflicting_origins
spec_paths:
- columns.AGE.submission.origins[1]
rule: SUB-14
context:
column: AGE
origin_type: Derived
reason: exclusive_type
Inputs
Under review1 source fileinput/dm.csv
Edit2 rows| STUDYID | USUBJID | AGE |
|---|---|---|
| CATH | 34 | |
| CATH | 67 |
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 | 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 | Age in years at informed consent | Predecessor, Derived |
| 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 |
yamaa