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Summary

Lifecycle: draftEditUnder review
What this benchmark means
README.md

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

Goal: record each subject's baseline weight (WEIGHTBL) from the collected demographics, allowing at most a quarter of the subjects to lack one.

Input: collected demographics carrying each subject's weight.

Variables:

  • WEIGHTBL would be the subject's weight in kilograms at baseline, copied from the collected records, and missing where none was collected.

Note: when the share of subjects without a baseline weight exceeds the accepted limit, no artifact is accepted. The failure names every affected subject and how many subjects were checked, so the share is known exactly.

How to fix

Decide whether the analysis can proceed with that many missing weights. When the weights were collected, correct them at the governed source and rerun. When the study accepts a larger share of missing weights, state the share it accepts:

columns:
  - name: WEIGHTBL
    verifications:
      - not_missing: {max_fraction: 0.5}

To keep the limit and still build the dataset, report the excess instead of failing, which needs a run report file:

output:
  report: adsl-checks.csv
columns:
  - name: WEIGHTBL
    verifications:
      - not_missing: {max_fraction: 0.25, severity: warning}

Do not fill the gaps with a placeholder weight, which reports a value nobody collected.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
verification
condition
not_missing_failed
rule
CHECK-5
expected/error.yaml
phase: verification
condition: not_missing_failed
spec_paths:
  - columns.WEIGHTBL.verifications[0].not_missing
rule: CHECK-5
context:
  column: WEIGHTBL
  failure_count: 2
  denominator: 4
  keys:
    - STUDYID: YAMAA-01
      USUBJID: P02
    - STUDYID: YAMAA-01
      USUBJID: P04

Inputs

Under review
1 source file

input/dm.csv

Edit
4 rows
input/dm.csv
STUDYIDUSUBJIDWEIGHT
YAMAA-0172.5
YAMAA-01—
YAMAA-0181
YAMAA-01—

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
ADSLWEIGHTBLWeight (kg) at BaselinenumericCopy value from DM.WEIGHT.Predecessor
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