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.

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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

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article

Digital Twin for Field Data Management: Design of a platform to promote FAIR principles and ensure data reusability

Atefeh Gooran Orimi, Christian Backe, Roland Lachmayer, Reem Donia et al.
3 citations
Procedia CIRP
Research Data Management Practices
9.74
article

Digital Twin for Field Data Management: Design of a platform to promote FAIR principles and ensure data reusability

Atefeh Gooran Orimi, Christian Backe, Roland Lachmayer, Reem Donia, Rayen Hamlaoui, Veit Briken
article en
3 citations

Abstract

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.

Procedia CIRPVol. 136
Leibniz University Hannover (DE), German Research Centre for Artificial Intelligence (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 2%
Research Data Management Practices
9.74
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Digital Twin for Field Data Management: Design of a platform to promote FAIR principles and ensure data reusability — Atefeh Gooran Orimi, Christian Backe, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS