What type of study is this?

This is a Literature Review study.

August 21, 2025Open Access

Provenance in the Context of Metrological Traceability

Key Points

Provenance information improves the quality and reliability of metrological traceability claims, enhancing their credibility.
Using the PROV data model, the analysis presents ways to ensure semantic interoperability in measurement communication.
The approach involves evaluating various metrological processes to better document traceability using provenance data models.
Implementing provenance supports better contextual understanding of measurement results, crucial for reliable cross-domain applications.

Abstract

This paper proposes using provenance information to describe processes in metrology. The PROV data model is used as an example to showcase a conceptual analysis about how to improve quality, reliability, and overall interoperability within cross-domain applications that require communicating measurement data and traceability information. The analysis considers various metrological processes and outputs that support traceability. The conceptual analysis will be used as a foundation for further contributions to the topic of improving the documentation of metrological traceability with provenance data models. Several use cases illustrate how provenance information can provide context for traceability claims, especially when the measurement result is the focal object of interest. The PROV family of specifications provides machine-actionable metadata and semantic interoperability when communicating measurement information in traceability chains. PROV supports various perspectives that arise in the context of metrological traceability.

Demander à l'IA

Bookmark

View Full Paper