A new framework has been proposed to create a navigable map of datasets in Engineering Design and Systems Engineering (EDSE). This map aims to address the challenge of fragmented and inaccessible datasets that hinder method validation, limit reproducibility, and slow research progress. The framework uses a multi-dimensional taxonomy to classify engineering datasets by domain, lifecycle stage, data type, and format, enabling faceted discovery. A working prototype has been demonstrated using a knowledge graph data model to capture rich semantic relationships between datasets, tools, and publications. --- Why it matters: This matters because it could accelerate data-centric engineering research by providing a dynamic, community-driven resource for discovering relevant datasets. It also highlights the need for curation and sustainability strategies to ensure the long-term value of these resources. Source: https://arxiv.org/abs/2603.15722