Reject a Boolean Dataset-JSON Column

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Summary

EditUnder reviewWhat this benchmark means

README.md

Public entries: Python and R. Passing coverage requires an installed inventory.

Goal: build a subject listing carrying SITEID and AGE from demographics received as a Dataset-JSON file.

Input: the received demographics input/dm.json, a Clinical Data Interchange Standards Consortium (CDISC) Dataset-JSON 1.1 file that also holds a safety population flag, SAFFL, as a column of true and false values.

Variables:

SITEID would identify the site where the subject enrolled. The rejected file produces no output value.
AGE would give the subject's age in whole years. The rejected file produces no output value.

A study's columns hold text, whole numbers, decimals, dates and date-times; none holds a true or false value, so no type can be chosen for the flag without converting it. Every column of the file is read, so the file is rejected while it is read, naming the column, even though the listing does not use the flag, and no artifact is accepted.

How to fix

Ask the sender to write the flag as the controlled terminology the standard uses for it, the text Y or N, in a string column:

{"itemOID": "IT.DM.SAFFL", "name": "SAFFL",
 "label": "Safety Population Flag", "dataType": "string"}

Expected failure

Editthe run is rejected; no artifact is accepted

expected/error.yaml

phase: ingest
condition: source_dataset_json_invalid
rule: DSJSON-5

expected/error.yaml

phase: ingest
condition: source_dataset_json_invalid
spec_paths:
  - input.DM.path
rule: DSJSON-5
context:
  dataset: DM
  path: input/dm.json
  cause: data_type
  field: SAFFL
  data_type: boolean

YAML specification

1 spec file

spec.yaml

Edit33 lines

1yamaa: "1.0"2type: spec3model: ADaM4domain: ADSL5keys: [STUDYID, USUBJID]6input:7  # Demographics received as a Dataset-JSON file with a Boolean SAFFL column.8  DM: input/dm.json910output:11  path: adsl.csv12  columns: [STUDYID, USUBJID, SITEID, AGE]1314columns:15  - name: STUDYID16    type: str17    label: Study Identifier18    derivation: DM.STUDYID1920  - name: USUBJID21    type: str22    label: Unique Subject Identifier23    derivation: DM.USUBJID2425  - name: SITEID26    type: str27    label: Study Site Identifier28    derivation: DM.SITEID2930  - name: AGE31    type: int32    label: Age33    derivation: DM.AGE

Inputs

Under review1 source file

input/dm.json

Edit

{
  "datasetJSONCreationDateTime": "2026-09-30T10:15:00",
  "datasetJSONVersion": "1.1.0",
  "fileOID": "www.example.org/PILOT7/DM",
  "sourceSystem": {"name": "Example EDC", "version": "5.1"},
  "studyOID": "PILOT7",
  "metaDataVersionOID": "MDV.1",
  "itemGroupOID": "IG.DM",
  "records": 2,
  "name": "DM",
  "label": "Demographics",
  "columns": [
    {"itemOID": "IT.DM.STUDYID", "name": "STUDYID", "label": "Study Identifier", "dataType": "string", "length": 6, "keySequence": 1},
    {"itemOID": "IT.DM.USUBJID", "name": "USUBJID", "label": "Unique Subject Identifier", "dataType": "string", "length": 6, "keySequence": 2},
    {"itemOID": "IT.DM.SITEID", "name": "SITEID", "label": "Study Site Identifier", "dataType": "string", "length": 3},
    {"itemOID": "IT.DM.AGE", "name": "AGE", "label": "Age", "dataType": "integer", "length": 3},
    {"itemOID": "IT.DM.SAFFL", "name": "SAFFL", "label": "Safety Population Flag", "dataType": "boolean"}
  ],
  "rows": [
    ["PILOT7", "P7-741", "101", 24, true],
    ["PILOT7", "P7-742", "102", 67, false]
  ]
}

Unexpected Output

Under reviewNo artifact is produced

No fixture files in this directory.

Shaded columns are derived— = missing value

Human review and assessment

Dataset Name	Variable Name	Variable Label	Type	Computational Method	Origin
ADSL	STUDYID	Study Identifier	character	Copy value from DM.STUDYID.	Predecessor
ADSL	USUBJID	Unique Subject Identifier	character	Copy value from DM.USUBJID.	Predecessor
ADSL	SITEID	Study Site Identifier	character	Copy value from DM.SITEID.	Predecessor
ADSL	AGE	Age	numeric	Copy value from DM.AGE.	Predecessor

Version	Date	Author	Description
1.7	2026-10-20	yamaa docs build	Read 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
1.6	2026-10-17	yamaa docs build	Describe collected date parts written as ISO 8601 date text and times of day counted in seconds since midnight
1.5	2026-10-17	yamaa docs build	Name 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
1.4	2026-10-15	yamaa docs build	State datetime precision codes through the hour and minute, and complete only the time parts a collected datetime lacks
1.3	2026-09-29	yamaa docs build	Show study codelist names, external dictionaries, and ISO 8601 formats in variable rows; list the document's codelist values and metadata
1.2	2026-09-29	yamaa docs build	Classify ADaM copies from a declared input as Predecessor and recodes as Derived, and SDTM recodes of locally derived columns as Derived
1.1	2026-09-29	yamaa docs build	Resolve lookups into the donor record they select, and give every derivation shape a plain-language rule instead of its raw YAML
1.0		yamaa docs build	Initial generation from spec.yaml

How to fix

input/dm.json

Your review

Mapping spec