Empirical effect of semantic persistence on audit quality and trust
Determine whether representing consequential workflow artifacts as typed, contextualized, and dependency-linked persistent records improves audit quality or trust in practice.
References
The resulting research agenda connects application analysis, interface design, controlled execution, and quality assessment. Contrasting examples in collaboration, spreadsheets, integrated development environments (IDEs), and service consoles examine the scope of the argument. The contribution is a conceptual framework with conditional reasoning and worked examples; its practical benefits remain questions for comparative engineering and human studies.
Future evaluation should establish whether the Data Hospital can support a complete data-quality task without obscuring the distinction between technical evidence, contextual judgment, user decisions, and resulting data states. It should also test whether documentation and replay remain consistent with the interventions that were actually performed.
Whether these affordances improve audit quality or trust in practice is an empirical question, not a claim of this paper.
A versioned dependency and evidence graph is a candidate shared abstraction for invalidation, regression, rollback, and renewed review, but current cross-family evidence is too sparse to establish one mechanism.
Whether such provenance is comprehensible, useful, or burdensome remains an empirical question.