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Summary
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: carry each subject's age (AGE) with its unit (AGEU), and
describe the role the unit plays in the demographics domain.
Input: collected demographics with the study and subject identifiers and each subject's age in years.
Variables:
AGEwould be the subject's age in years, as collected.AGEUwould be the unit of that age,YEARSon every record.
Note: the SDTM model publishes nine variable roles: Identifier, Topic,
Timing and Rule, and the Grouping, Result, Synonym, Record and Variable
Qualifiers. The role written for the age unit, Qualifier, names the group
the five qualifier roles belong to rather than one role, so the request is
rejected before any data is read, and no artifact is accepted.
How to fix
Name the one role the variable plays. The age unit qualifies the age itself, which the SDTM model calls a Variable Qualifier:
submission:
core: Exp
role: Variable Qualifier
length: 5
origins:
- type: Assigned
source: Sponsor
A role is written exactly as the SDTM model spells it:
Variable qualifier is rejected the same way.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- validation
- condition
- value_not_permitted
- rule
- SCHEMA-12
expected/error.yaml
phase: validation
condition: value_not_permitted
spec_paths:
- columns.AGEU.submission.role
rule: SCHEMA-12
context:
value: Qualifier
permitted:
- Identifier
- Topic
- Timing
- Grouping Qualifier
- Result Qualifier
- Synonym Qualifier
- Record Qualifier
- Variable Qualifier
- Rule
Inputs
Under review1 source fileinput/dm_raw.csv
Edit2 rows| STUDYID | USUBJID | AGE |
|---|---|---|
| YAMAA-01 | 34 | |
| YAMAA-01 | 58 |
Unexpected Output
Under reviewNo artifact is producedNo fixture files in this directory.
Human review and assessment
| Variable Name | Variable Label | Type | Length | Controlled Terms or Format | Origin | Core | Conversion Definition | Variable Type | Variable Order | Comments for Define |
|---|---|---|---|---|---|---|---|---|---|---|
| STUDYID | Study Identifier | Char | Collected | Copy value from DM_RAW.STUDYID. | SDTM | 1 | ||||
| USUBJID | Unique Subject Identifier | Char | Collected | Copy value from DM_RAW.USUBJID. | SDTM | 2 | ||||
| AGE | Age | Num | Collected | Copy value from DM_RAW.AGE. | SDTM | 3 | ||||
| AGEU | Age Units | Char | 5 | Assigned | Exp | Set constant value "YEARS". | SDTM | 4 |
| 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 |
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