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Summary
EditUnder reviewWhat this benchmark meansREADME.mdPublic entries: Python and R. Passing coverage requires an installed inventory.
Goal: carry each subject's collected age (AGE) into the ADSL analysis
dataset, keeping values outside the expected range of 18 to 100 for later
data review.
Input: collected demographics, one record per subject, carrying age.
Variables:
AGE: the subject's age in years as collected. A value below 18 or above 100 stays in the dataset as collected, and a missing age stays missing; neither case stops the run.
Note: an age outside 18 to 100 does not stop the run: every subject keeps
its record, and the run report (adsl-violations.csv) records the review.
Each of its rows names the dataset (ARTIFACT), what kind of item it
describes (KIND), where the spec states that item (SPEC_PATH) and its
subject (NAME): the run and its outcome (OUTCOME), the demographics
read, the subjects built, each output column with its missing values and
longest text, and the age check. The check's row gives the column checked
(TARGET), the rule it applies (RULE), how serious a failure is
(SEVERITY), the failure (CONDITION), how many subjects failed out of how
many were checked (COUNT, TOTAL), every subject that failed (KEYS)
and the remaining facts (DETAILS); the check carries no label of its own
(ID).
Inputs
Under review1 source fileinput/dm.csv
Edit8 rows| STUDYID | USUBJID | AGE |
|---|---|---|
| YAMAA-01 | 34 | |
| YAMAA-01 | 18 | |
| YAMAA-01 | 100 | |
| YAMAA-01 | 17 | |
| YAMAA-01 | 101 | |
| YAMAA-01 | 214 | |
| YAMAA-01 | — | |
| YAMAA-01 | 57 |
Expected output
Under review15 expected rowsexpected/adsl-violations.csv
Edit7 rows| ARTIFACT | KIND | SPEC_PATH | NAME | ID | TARGET | RULE | SEVERITY | OUTCOME | CONDITION | COUNT | TOTAL | KEYS | DETAILS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| adsl.csv | run | output | — | — | — | — | — | succeeded | — | 8 | — | — | {} |
| adsl.csv | input | input.DM | DM | — | — | — | — | — | — | 8 | — | — | {"bytes":221,"path":"input/dm.csv","profile":"csv"} |
| adsl.csv | rows | base | DM | — | — | — | — | — | — | 8 | 8 | — | {} |
| adsl.csv | column | columns.STUDYID | STUDYID | — | — | — | — | — | — | 0 | 8 | — | {"max_length":8} |
| adsl.csv | column | columns.USUBJID | USUBJID | — | — | — | — | — | — | 0 | 8 | — | {"max_length":12} |
| adsl.csv | column | columns.AGE | AGE | — | — | — | — | — | — | 1 | 8 | — | {} |
| adsl.csv | check | columns.AGE.verifications[0].range | range | — | AGE | CHECK-7 | warning | violated | range_failed | 3 | 8 | [{"STUDYID":"YAMAA-01","USUBJID":"YAMAA-01-104"},{"STUDYID":"YAMAA-01","USUBJID":"YAMAA-01-105"},{"STUDYID":"YAMAA-01","USUBJID":"YAMAA-01-106"}] | {"column":"AGE"} |
expected/adsl.csv
Edit8 rows| STUDYID | USUBJID | AGE |
|---|---|---|
| YAMAA-01 | 34 | |
| YAMAA-01 | 18 | |
| YAMAA-01 | 100 | |
| YAMAA-01 | 17 | |
| YAMAA-01 | 101 | |
| YAMAA-01 | 214 | |
| YAMAA-01 | — | |
| YAMAA-01 | 57 |
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 |