Quality of Measurement Information in Decision-Making
Dario Petri, Paolo Carbone, Luca Mari
Abstract
This article introduces a general-purpose framework aimed at capturing the elusive concept of quality of measurement information (MI), a critical issue for both researchers and practitioners when dealing with MI-enabled decision-making. The framework is a blueprint for the definition, assessment, communication, and improvement of MI quality, as analyzed through a set of general criteria, classified according to the syntactic, semantic, and pragmatic layers of semiotics, as suggested in the ISO 8000-8:2015 technical standard. The top-down analysis, where each criterion is specified in terms of characteristics and each characteristic in terms of domain-related indicators, is complemented with a bottom-up synthesis and operationalized by means of a flowchart. An application example, about the quality of information provided by the networks of measurement instruments reporting pollutants in the air, is presented to test the usefulness and the limitations of the framework.