Digital Twin for Field Data Management: Design of a platform to promote FAIR principles and ensure data reusability
While research data volume grows exponentially, its provision does not match this pace, entailing data retrieval challenges in engineering and field-related scenarios. This paper presents a Field Database Platform (FDP), an enriched metadata-based tool within a Digital Twin framework. Designed to digitize the product development process, the FDP enables data preprocessing and visualization, shifting the paradigm from bulky downloads to a more refined, user-centric approach. Built on relational database architecture, the FDP ensures data reusability, closing the data lifecycle loop and promoting data FAIR principles. The specifics of the proposed platform are outlined, demonstrating its application in an automotive use-case.
Authors
- Atefeh Gooran Orimi
- Christian Backe (ORCID: https://orcid.org/0009-0002-7114-0687)
- Roland Lachmayer (ORCID: https://orcid.org/0000-0002-3181-6323)
- Reem Donia
- Rayen Hamlaoui
- Veit Briken
Institutions
- Leibniz University Hannover (DE)
- German Research Centre for Artificial Intelligence (DE)
Publication Details
- Journal
- Procedia CIRP
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.procir.2025.08.030
- Citations
- 3
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 9.74
Funders
- Deutsche Forschungsgemeinschaft