Research Data Management Handbook for SPP100+
Type of the data | Other | |
Total size of the dataset | 18831207 | |
Author | Aqlan, Samar | |
Author | Kang, Chongjie | |
Author | Eisermann, Cedric | |
Upload date | 2025-06-27T13:26:56Z | |
Publication date | 2025-06-27T13:26:56Z | |
Publication date | 2025-06-27 | |
Abstract of the dataset | 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. | |
Public reference to this page | https://opara.zih.tu-dresden.de/handle/123456789/1558 | |
Public reference to this page | https://doi.org/10.25532/OPARA-886 | |
Publisher | Technische Universität Dresden | |
Licence | Attribution-NonCommercial 4.0 International | en |
URI of the licence text | http://creativecommons.org/licenses/by-nc/4.0/ | |
Specification of the discipline(s) | 4::45 | |
Title of the dataset | Research Data Management Handbook for SPP100+ | |
Project abstract | The Priority Programme SPP100+ ("Hundred plus") addresses the pressing challenge of ageing infrastructure by enabling predictive maintenance through early and comprehensive data acquisition. Much like human health, the condition of structural systems deteriorates more rapidly with age, making early intervention essential. To extend the service life of complex structures—particularly those in transport infrastructure—far more data is needed at much earlier stages than current practice allows. SPP100+ focuses on the fundamental research required to collect, link, and evaluate data on geometry, material properties, stress, and ageing. In this context, digitalisation and the concept of the digital twin play a central role, allowing for the integration and real-time assessment of all relevant operational and maintenance data. Unique challenges in the construction sector—such as the one-of-a-kind nature of buildings, their vast dimensions, and slow, difficult-to-measure degradation rates—demand new interdisciplinary approaches. The program is structured into three interdisciplinary research areas and integrates efforts from five research clusters and around 19 subprojects, working collaboratively to transform how we understand, manage, and preserve critical infrastructure. | |
Public project website(s) | https://www.spp100plus.de/en/ | |
Project title | Hundred Plus – Extending the Lifetime of Complex Engineering Structures through Intelligent Digitalization |
Collections
