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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: build one Demographics (DM) record per subject carrying sex (SEX) and age (AGE).

Input: EDC output in long form, one row per collected item. A visit entered more than once repeats its items under a new visit repeat key (StudyEventRepeatKey), so one question can carry two answers.

Variables:

  • SEX would be the recorded sex coded M (Male) or F (Female), and U when no answer, a blank answer, or any other answer was collected. The same answer entered twice is still one answer, but a subject with two different answers has no single recorded sex and one record cannot carry both, so the run is rejected and no artifact is accepted.
  • AGE: age in whole years as collected; blank when missing.

How to fix

Decide which answer stands for the subject. Two different sexes for one subject is usually a data issue to query and correct at the source, and correcting it there leaves one answer and needs nothing here.

When both entries are legitimate and the later one corrects the earlier, say so: order the answers as they were collected and keep the last, in a working column the coded value then reads.

- name: SEXCOLL
  type: str
  derivation:
    source:
      filter: ODM.ItemOID = 'IT.DM.SEX'
      variable: ODM.Value
      order_by: [ODM.StudyEventRepeatKey]
      keep: last

- name: SEX
  type: str
  derivation:
    mapping:
      source: SEXCOLL
      dict:
        Male: M
        Female: F
      missing: U

When one entry is the record of the visit and the other is a duplicate to be ignored, name the entry the record reports instead, for example with ODM.ItemOID = 'IT.DM.SEX' AND ODM.StudyEventRepeatKey = 1.

Do not widen the keys to keep both answers: a subject whose visit was entered twice is still one demographics record.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
derivation
condition
multiple_values_per_key
rule
COLUMN-2
expected/error.yaml
phase: derivation
condition: multiple_values_per_key
spec_paths:
  - columns.SEX.derivation.mapping
rule: COLUMN-2
context:
  identifier: ODM.Value
  value_count: 2
  keys:
    - STUDYID: STUDY01
      USUBJID: "002"

Inputs

Under review
1 source file

input/odm.csv

Edit
5 rows
input/odm.csv
StudyOIDMetaDataVersionOIDSubjectKeyStudyEventOIDStudyEventRepeatKeyItemGroupOIDItemGroupRepeatKeyItemOIDValue
STUDY01MDV.1001SCREENING1IG.DM1IT.DM.SEXMale
STUDY01MDV.1001SCREENING1IG.DM1IT.DM.AGE34
STUDY01MDV.1002SCREENING1IG.DM1IT.DM.SEXFemale
STUDY01MDV.1002SCREENING2IG.DM1IT.DM.SEXMale
STUDY01MDV.1002SCREENING1IG.DM1IT.DM.AGE28

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

Variable NameVariable LabelTypeLengthControlled Terms or FormatOriginCoreConversion DefinitionVariable TypeVariable OrderComments for Define
DOMAINDomain AbbreviationCharAssignedSet constant value "DM".SDTM1
STUDYIDStudy IdentifierCharCollectedCopy value from ODM.StudyOID.SDTM2
USUBJIDUnique Subject IdentifierCharCollectedCopy value from ODM.SubjectKey.SDTM3
SEXSexCharCollectedRecode ODM.Value where ODM.ItemOID = 'IT.DM.SEX': "Male" → "M", "Female" → "F"; missing values → "U"; unlisted values are errors.SDTM4
AGEAgeNumCollectedCopy value from ODM.Value where ODM.ItemOID = 'IT.DM.AGE'.SDTM5
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