GBSNResearch/ai-data-governance-reference-cases
ADGL Reference Cases and Governance Profiles This Dataset repository accompanies the AI Data Governance Layer (ADGL) public research project. ADGL models Knowledge Governance → Analysis Governance → Consequence Governance, with INFORM, DECIDE, and ACT as principal consequence dispositions and Audit + Provenance spanning the complete governance trajectory. Configurations reference_cases: eight structured reference cases with policy, input fixture, and expected… See the full description on the dataset page: https://huggingface.co/datasets/GBSNResearch/ai-data-governance-reference-cases.
ADGL Reference Cases and Governance Profiles
This Dataset repository accompanies the AI Data Governance Layer (ADGL) public research project.
ADGL models Knowledge Governance → Analysis Governance → Consequence Governance, with INFORM, DECIDE, and ACT as principal consequence dispositions and Audit + Provenance spanning the complete governance trajectory.
Configurations
reference_cases: eight structured reference cases with policy, input fixture, and expected result.governance_profiles: five illustrative, non-normative domain profiles.
Current integrity status
Toolkit version: 0.5.3
The corresponding reference toolkit reports 25/25 published normative checks plus 11/11 candidate execution-integrity checks.
This dataset is for standards research, independent implementation, conformance experimentation, governance benchmark development, and demonstrations. It is not a training corpus, legal-compliance certification dataset, or production authorization database.
Licensing
This Hugging Face Dataset package contains executable fixtures, schemas, and illustrative profiles released under Apache License 2.0. The separately published ADGL paper/specification uses its own documentation license.
Creator: GBSN Research. For project contact, go to www.gbsnresearch.com and use Contacts.