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Summary

Lifecycle: reviewedEditUnder review
What this benchmark means
README.md

Public entries: Python and R. Passing coverage requires an installed inventory.

Goal: carry the recorded sex (SEX) for each subject from collected demographics, accepting only the study codes M and F.

Input: collected demographics with study and subject identifiers and recorded sex (SEX).

Variables:

  • SEX is the subject's recorded sex, copied from collected SEX, and blank when none was recorded. Only the exact codes M and F are recognized, so a lowercase m, an X, or a U is not accepted.

A code the study does not recognize rejects the run at the final check, after the values are derived, so no artifact is accepted.

How to fix

Correct the offending records at collection: m, X, and U are not codes the study defines, so query the sites for the subjects' sex. Widen the accepted codes only when the study genuinely admits another value, such as U for unknown:

verifications:
  - allowed_values:
      values: [M, F, U]

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
verification
condition
allowed_values_failed
rule
CHECK-6
expected/error.yaml
phase: verification
condition: allowed_values_failed
spec_paths:
  - columns.SEX.verifications[0].allowed_values
rule: CHECK-6
context:
  column: SEX
  failure_count: 3
  keys:
    - STUDYID: YAMAA-01
      USUBJID: YAMAA-01-104
    - STUDYID: YAMAA-01
      USUBJID: YAMAA-01-105
    - STUDYID: YAMAA-01
      USUBJID: YAMAA-01-106

Inputs

Under review
1 source file

input/dm.csv

Edit
6 rows
input/dm.csv
STUDYIDUSUBJIDSEX
YAMAA-01M
YAMAA-01F
YAMAA-01—
YAMAA-01m
YAMAA-01X
YAMAA-01U

Unexpected Output

Under review
No artifact is produced

No fixture files in this directory.

Shaded columns are derived— = missing value

Human review and assessment

Your review

2 questions and your comments · View benchmark discussions

Mapping spec

Generated from the benchmark YAML; do not edit by hand

Dataset NameVariable NameVariable LabelTypeCodelist/Controlled TermsCoreComputational MethodOrigin
ADSLSTUDYIDStudy IdentifiercharacterCopy value from DM.STUDYID.Predecessor
ADSLUSUBJIDUnique Subject IdentifiercharacterCopy value from DM.USUBJID.Predecessor
ADSLSEXSexcharacterM, FCopy value from DM.SEX.Predecessor
VariablePermitted values
SEXM, F
VersionDateAuthorDescriptionReviewerSign-off
1.72026-10-20yamaa docs buildRead 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
1.62026-10-17yamaa docs buildDescribe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight
1.52026-10-17yamaa docs buildName 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
1.42026-10-15yamaa docs buildState datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks
1.32026-09-29yamaa docs buildShow study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata
1.22026-09-29yamaa docs buildClassify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived
1.12026-09-29yamaa docs buildResolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML
1.0yamaa docs buildInitial generation from spec.yaml