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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: derive SEX and AGE for one record per subject, each from the one record that holds the subject's answer.

Input: long-form Operational Data Model (ODM) data with one row per collected item, carrying the visit (StudyEventOID), the form, the item (ItemOID), and the stored value (Value).

Variables:

  • SEX is the sex answered at screening. A subject who is asked again at a later visit keeps the screening answer.
  • AGE is the age collected for the subject; a subject with no age record keeps a missing age.

Note: an answer is read only when exactly one record holds it, so two records of one question at one visit stop the run even when they agree. Items the record does not read, such as a weight, play no part.

Inputs

Under review
1 source file

input/odm.csv

Edit
5 rows
input/odm.csv
StudyOIDMetaDataVersionOIDSubjectKeyStudyEventOIDStudyEventRepeatKeyFormOIDFormRepeatKeyItemGroupOIDItemGroupRepeatKeyItemOIDValue
STUDY01MDV.1001SCREENING1FO.DM1IG.DM1IT.DM.SEXF
STUDY01MDV.1001SCREENING1FO.DM1IG.DM1IT.DM.AGE34
STUDY01MDV.1001SCREENING1FO.VS1IG.VS1IT.VS.WEIGHT61
STUDY01MDV.1001BASELINE1FO.DM1IG.DM1IT.DM.SEXF
STUDY01MDV.1002SCREENING1FO.DM1IG.DM1IT.DM.SEXM

Expected output

Under review
2 expected rows

expected/dm.csv

Edit
2 rows
expected/dm.csv
STUDYIDUSUBJIDSEXAGE
STUDY01F34
STUDY01M—
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

Variable NameVariable LabelTypeLengthControlled Terms or FormatOriginCoreConversion DefinitionVariable TypeVariable OrderComments for Define
STUDYIDStudy IdentifierCharCollectedCopy value from ODM.StudyOID.SDTM1
USUBJIDUnique Subject IdentifierCharCollectedCopy value from ODM.SubjectKey.SDTM2
SEXSexCharCollectedRead collected ODM item IT.DM.SEX in event SCREENING; no identified record yields blank.SDTM3
AGEAgeNumCollectedRead collected ODM item IT.DM.AGE; no identified record yields blank.SDTM4
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

yamaa code

Public calls generated from benchmark.yaml; results must match the expected output

R

Edit
3 lines
library(yamaa)yamaa_spec("spec.yaml")$run()$output

Python

Edit
3 lines
import yamaayamaa.spec("spec.yaml").run().output