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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: keep one record per study drug administration, with the dose in AVAL.

Input: collected exposure records, one per administration, with the dose given (EXDOSE).

Variables:

  • EXSEQ is the collected sequence number of the administration.
  • AVAL would be the analysis value of the record.

Note: the value of AVAL is stated twice: once as each subject's total dose over all administrations, and once, for each administration record, as the dose given on that record. A total is computed from all of a subject's records, so it cannot be replaced record by record, and the run is rejected before any data is read; no artifact is accepted.

How to fix

Decide what AVAL holds on an administration record. When it is the dose given, state only that, in the column itself:

- name: AVAL
  type: float
  label: Analysis Value
  derivation: EX.EXDOSE

When the subject's total dose is needed as well, give it a column of its own, such as a cumulative dose, rather than replacing it record by record.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
validation
condition
duplicate_derivation
rule
SPEC-6
expected/error.yaml
phase: validation
condition: duplicate_derivation
spec_paths:
  - columns.AVAL.derivation
rule: SPEC-6
context:
  column: AVAL
  rows: [administration]
  not_row_local: aggregate

Inputs

Under review
1 source file

input/ex.csv

Edit
3 rows
input/ex.csv
STUDYIDUSUBJIDEXSEQEXDOSE
YAMAA-011100
YAMAA-012150
YAMAA-011100

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
ADEXSTUDYIDStudy IdentifiercharacterCopy value from EX.STUDYID.Predecessor
ADEXUSUBJIDUnique Subject IdentifiercharacterCopy value from EX.USUBJID.Predecessor
ADEXEXSEQSequence NumbernumericCopy value from EX.EXSEQ.Predecessor
ADEXAVALAnalysis ValuenumericAggregate SUM(EX.EXDOSE) over records matching on the shared output keys.Derived
TemplateInclude whenAVAL
administrationCopy EX.EXDOSE
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