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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: one record for each subject and collected parameter, carrying the numeric analysis result (AVAL).

Input: collected laboratory results carrying the test code (LBTESTCD) and the reported character result (LBSTRESC).

Variables:

  • AVAL would hold the reported number read from LBSTRESC for the collected parameter, and is missing when no result is reported. A result reported as a limit (such as <50) instead of a number cannot be read as the limit, as zero, or as missing without a stated rule, so the run fails and no artifact is accepted.

How to fix

Retain the reported text in a string column and state what the numeric analysis value should be. If a result such as <50 is intentionally represented as a missing numeric value, handle the failed conversion explicitly:

derivation:
  value: LB.LBSTRESC
  unconvertible: null

If the study uses a numeric substitution for values below the assay limit, derive that documented value instead and keep the original character result for traceability.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
convert
condition
conversion_failed
rule
VALUE-3
expected/error.yaml
phase: convert
condition: conversion_failed
spec_paths:
  - columns.AVAL
rule: VALUE-3
context:
  from: str
  to: float
  value: "<50"
  keys:
    - STUDYID: PILOT7
      USUBJID: P7-942
      PARAMCD: HIVRNA

Inputs

Under review
1 source file

input/lb.csv

Edit
2 rows
input/lb.csv
STUDYIDUSUBJIDLBTESTCDLBSTRESC
PILOT7HIVRNA12000
PILOT7HIVRNA<50

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
ADLBSTUDYIDStudy IdentifiercharacterCopy value from LB.STUDYID.Predecessor
ADLBUSUBJIDUnique Subject IdentifiercharacterCopy value from LB.USUBJID.Predecessor
ADLBPARAMCDParameter CodecharacterCopy value from LB.LBTESTCD.Predecessor
ADLBAVALAnalysis ValuenumericCopy value from LB.LBSTRESC.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