Abstract
This paper proposes an evaluation framework for regulated analytic pipelines where data reliability, transformation integrity and review traceability must be visible to technical and non-technical stakeholders. The framework connects pipeline stages with validation checkpoints, control evidence and reproducibility notes. A pilot evaluation shows how trust-aware pipeline scoring can identify brittle transformations, missing audit records and weak documentation before analytic outputs enter operational use.
Contribution Summary
The paper contributes a practical scoring model, a checklist for pipeline-level evidence and a reporting pattern that links computation stages to review obligations.
Citation
Marin, S. Trust-Aware Data Pipeline Evaluation for Regulated Analytic Systems. In Proceedings of the DECaT 2024 Workshop, article DECaT-2024-01, 2024.