Measurement and evaluation
Data quality
Qualité des données
Data quality is the fitness of data for an intended use, considering dimensions such as accuracy, completeness, timeliness, consistency, and documented meaning. In curb management, quality depends on both location and rules, so a current sensor feed cannot compensate for incorrect zone boundaries or obsolete regulatory information.
Understanding the term
Quality checks should follow the decision being supported. Planning tolerances, public routing information, and enforcement evidence can require different validation levels and correction procedures.
Every reported measure needs a geographic boundary, observation period, unit, and documented calculation method. State how missing data, temporary closures, and sessions crossing the observation boundary are treated. Use distributions or separate user categories where an average hides important differences. Compare consistent definitions across sites and periods, and distinguish an observed association from a demonstrated causal effect. The appropriate indicator follows the policy question rather than whichever field a monitoring system happens to provide.