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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: submit the adverse event analysis dataset (ADAE), with the dictionary-derived term of each event (AEDECOD), as the SAS transport file adae.xpt.

Input: the collected adverse event listing of a study in which no subject had an adverse event, so the listing holds only its header.

Variables:

  • AEDECOD would be the dictionary-derived term of each adverse event.

The dataset has no rows. An empty transport file looks like a dataset that was lost on its way into the package, so a dataset with no rows must state that it has no data: the package then describes it as empty and carries no transport file for it. This dataset states nothing, so the submission is rejected before any file is written.

How to fix

Confirm that the study collected no adverse events, then state it in the dataset's submission metadata:

submission:
  label: Adverse Events Analysis Dataset
  class: OCCURRENCE DATA STRUCTURE
  structure: One record per subject per adverse event
  repeating: true
  has_no_data: true

The data-definition document then describes ADAE as a dataset with no data, and no adae.xpt is written.

Expected failure

Edit
the run is rejected; no artifact is accepted
expected/error.yaml
phase
output
condition
transport_dataset_empty
rule
JSON-3
expected/error.yaml
phase: output
condition: transport_dataset_empty
spec_paths:
  - datasets.ADAE.artifact
rule: JSON-3
context:
  dataset: ADAE

Inputs

Under review
1 source file

input/ae.csv

Edit
0 rows
input/ae.csv
STUDYIDUSUBJIDAESEQAEDECOD

This file has no data rows.

Unexpected Output

Under review
0 rows presented to the failing check - not an accepted artifact

expected/adae.csv

Edit
0 rows
expected/adae.csv
STUDYIDUSUBJIDAESEQAEDECOD

This file has no data rows.

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
ADAESTUDYIDStudy IdentifiercharacterReqCopy value from AE.STUDYID.Predecessor
ADAEUSUBJIDUnique Subject IdentifiercharacterReqCopy value from AE.USUBJID.Predecessor
ADAEAESEQSequence NumbernumericReqCopy value from AE.AESEQ.Predecessor
ADAEAEDECODDictionary-Derived TermcharacterReqCopy value from AE.AEDECOD.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