QXEFV typically requires large volumes of high-quality, multi-dimensional data. This often includes time-series data capturing system behavior over time, interaction data between different components, and environmental or contextual data. Collection methods may involve sensors and IoT devices, historical databases, surveys, and simulations. The specific data needs can vary depending on the system being modeled. Organizations implementing QXEFV often need to invest significantly in data infrastructure and collection mechanisms to ensure the comprehensiveness and quality necessary for accurate modeling.