The Veritas Index methodology is a structured, methodology-driven research evaluation framework designed to support integrity, quality, and transparency across the global academic ecosystem.
The framework adopts a principles-based and explainable analytical approach to assessing scholarly activity and academic representation using verifiable information and ethically grounded evaluation logic. Its purpose is to provide a consistent, high-level perspective on research quality without relying on opaque metrics or reputation-based assumptions.
Evaluation outputs—including score outputs where applicable—are derived through a normalized model that synthesizes multiple independent dimensions related to research activity, transparency, and scholarly continuity. The methodology is designed to support fairness, contextual interpretation, and comparability across disciplines, career stages, and institutional environments.
Computational techniques, including AI-supported processes, are used exclusively to assist in data structuring, consistency validation, and large-scale analytical alignment. These techniques do not replace methodological judgment, nor do they independently determine evaluation outcomes.
The Veritas Index methodology maintains a clear separation between analytical evaluation and academic judgment, ensuring that research integrity, methodological transparency, and scholarly autonomy remain respected.
Methodological principles and evaluation logic are subject to continuous review to ensure alignment with evolving standards in responsible research assessment and ethical data stewardship.