This handbook provides a comprehensive guide to research data management (RDM) for the joint project SPP100+, an interdisciplinary initiative that brings together five research clusters and approximately 19 subprojects. The project addresses the urgent need for earlier and more effective preventive maintenance of complex structural systems—such as those found in transport infrastructure—by enabling predictive insights into degradation processes. As structures age, their condition deteriorates increasingly rapidly, making early detection and intervention crucial. SPP100+ focuses on advancing the collection, integration, and evaluation of data related to geometry, material properties, stress, and ageing. Central to this effort is the concept of the digital twin, which allows for real-time, data-driven decision-making in the maintenance and operation of unique, large-scale infrastructure. This handbook outlines the RDM strategies tailored to the project's unique demands, supporting consistent, interoperable, and reusable data practices across all contributing research units.