This special issue provides a platform for papers that investigate data-driven methods for design, provide insightful discussions about the data used, and publicly release their dataset. It also encourages submissions to address critical challenges in engineering dataset creation, such as multi-modality, handling missing information, managing diverse data types, navigating dependencies among attributes, ensuring data quality, and integrating complex data structures and real-time data.