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Description
Standard
CDISC SDTM/SDTMIG
Reference Rule ID(s)
Not rule specific
Conformance Rule ID(s) (if published in CORE)
CORE-
JIRA Ticket
No response
CLI Command Used (if applicable)
python3 core.py validate -s SDTMIG -v 3.4 -dv 2.1 -dxp .../tempv/data/define.xml -vx y -d .../tempv/data --filetype json -o .../tempv/data/val_reports/bash_coreval_examples_sdtm_json_mhungria_SDTMIGv3.4_2026-02-26 --output-format JSON --output-format XLSX -l info -p verbose_output
Rule YAML
Authorities:
- Organization:
Standards:
- Name:
References:
- Citations:
- Cited Guidance:
Document:
Item:
Section:
Origin:
Rule Identifier:
Id:
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Version:
Version:
Check:
all:
- name:
operator:
value:
Core:
Id:
Status:
Version: '1'
Description:
Executability: Fully Executable
Match Datasets:
- Keys:
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Name:
Operations:
- id:
operator:
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Message:
Output Variables:
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Rule Type:
Scope:
Sensitivity:Attach any sample test data file(s)
Dataset-JSON v1.1 published SDTM package (https://github.com/cdisc-org/DataExchange-DatasetJson/tree/master/examples/sdtm), copied to a temp folder that has sub-folders.
Attach any output report and/or log file(s)
Output shows dataset rows from files read recursively from sub-folders / output previously created, plus issues for those datasets:
35
filename "DM"
label "Demographics"
path ".../tempv/data"
modification_date "2025-10-26T11:43:15"
size_kb 7.985
length 18
36
filename ""
label ""
path "…/tempv/data_/val_reports_"
modification_date ""
size_kb 2.045
length
...
Expected output
Clean output just processing datasets read from the cli command -d provided, not from sub-folders.
Any Additional Information
I selected the standard as SDTM/SDTMIG as I tested with it; however, I think the issue is regardless of the standard selected.
Note: Executed on a linux box; however, I think the issue is a general issue, not specific to a given environment.