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Summary
README.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: carry the analysis date (ADT), the numeric result (AVAL),
and the baseline flag (ABLFL) for each laboratory result, and check that
each subject and parameter has exactly one flagged baseline result.
Input: collected laboratory results carrying analysis date
(ADT), numeric result (AVAL), and baseline flag (ABLFL). One subject
has two flagged records and another has none.
Variables:
ABLFLis the input baseline flag:Yon the record that serves as the baseline for the subject and parameter, blank on every other record.
Note: the grouped count has no id, and the declaration is valid. It
runs and reports the failing subject-parameter groups at its specification
path. The bounds remain available in the declaration at that path.
How to fix
Correct the baseline flags in the incoming records so each subject and
parameter has exactly one record flagged Y.
Expected failure
Editthe run is rejected; no artifact is acceptedexpected/error.yaml- phase
- verification
- condition
- row_count_failed
- rule
- CHECK-13
expected/error.yaml
phase: verification
condition: row_count_failed
spec_paths:
- verifications[0].row_count
rule: CHECK-13
context:
failure_count: 2
keys:
- STUDYID: YAMAA-01
USUBJID: YAMAA-01-101
PARAMCD: ALT
- STUDYID: YAMAA-01
USUBJID: YAMAA-01-102
PARAMCD: ALT
counts:
- 2
- 0
Inputs
Under review1 source fileinput/adlb_raw.csv
Edit3 rows| STUDYID | USUBJID | PARAMCD | ADT | AVAL | ABLFL |
|---|---|---|---|---|---|
| YAMAA-01 | ALT | 2025-01-01 | 10 | Y | |
| YAMAA-01 | ALT | 2025-01-08 | 15 | Y | |
| YAMAA-01 | ALT | 2025-01-01 | 8 | — |
Unexpected Output
Under review3 rows presented to the failing check - not an accepted artifactexpected/adlb.csv
Edit3 rows| STUDYID | USUBJID | PARAMCD | ADT | AVAL | ABLFL |
|---|---|---|---|---|---|
| YAMAA-01 | ALT | 2025-01-01 | 10 | Y | |
| YAMAA-01 | ALT | 2025-01-08 | 15 | Y | |
| YAMAA-01 | ALT | 2025-01-01 | 8 | — |
Human review and assessment
| Dataset Name | Variable Name | Variable Label | Type | Codelist/Controlled Terms | Core | Computational Method | Origin |
|---|---|---|---|---|---|---|---|
| ADLB | STUDYID | Study Identifier | character | Copy value from ADLB_RAW.STUDYID. | Predecessor | ||
| ADLB | USUBJID | Unique Subject Identifier | character | Copy value from ADLB_RAW.USUBJID. | Predecessor | ||
| ADLB | PARAMCD | Parameter Code | character | Copy value from ADLB_RAW.PARAMCD. | Predecessor | ||
| ADLB | ADT | Analysis Date | numeric | ISO 8601 | Copy value from ADLB_RAW.ADT. | Predecessor | |
| ADLB | AVAL | Analysis Value | numeric | Copy value from ADLB_RAW.AVAL. | Predecessor | ||
| ADLB | ABLFL | Baseline Record Flag | character | Copy value from ADLB_RAW.ABLFL. | 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 |
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