Building trustworthy smart cities: a systems engineering approach to data engineering at the Smart Metrology Campus

This paper introduces the concept of a Smart Metrology Campus, with its primary objective being to facilitate reliable data science in the realm of smart cities. This is achieved by connecting sensor and meter data with metadata, particularly from the field of metrology. The establishment of a robust data infrastructure, responsible for collecting this data, requires a strategic data engineering approach. The challenge lies in identifying a data engineering approach that is well-suited for design considerations characterized by high demands in scale, complexity, sensitivity and reliability. To address this challenge, the paper conducts a comprehensive analysis of the applicability of existing guides for data engineering, alongside other guiding processes from related disciplines such as data mining, data science, and systems engineering. As a result, systems engineering is identified as highly relevant approach for a data engineering meeting the needs of smart cities. The subsequent sections delve into the exploration of how our approach can be utilized and adapted for the specific requirements of a data engineering process in this context.