Innovation Through Data Recombination - Varna Port Case Study of Digital Twin Creation

This study examines how data is recombined during the creation of a digital twin - viewed here as an instance of digital innovation - along with the challenges that arise and the mechanisms that enable this process. Through an in-depth qualitative case study of the Varna Port Digital Twin, a pilot in the European ILIAD project, we show that digital innovation emerged recursively, through a four-phased process. Furthermore, our findings point to three main challenges innate to this process: semantic interoperability, which was solved with a common data model and harmonization tools; data availability that was eased by reusing alternative sources and creating new data via in-situ sensors, synthetic generation and citizen science; data reliability and resilience, solved through diversification mechanisms.

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Publication Details

Published
2025-06-16
DOI
https://doi.org/10.1109/oceans58557.2025.11104613
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Innovation Through Data Recombination - Varna Port Case Study of Digital Twin Creation

Raissa Pershina, Arne J. Berre, Bente Lilja Bye, Yoana Svetoslavova Adriyanova
1 citations
Big Data and Business Intelligence
2.28
article

Innovation Through Data Recombination - Varna Port Case Study of Digital Twin Creation

Raissa Pershina, Arne J. Berre, Bente Lilja Bye, Yoana Svetoslavova Adriyanova
article en
1 citations

Abstract

This study examines how data is recombined during the creation of a digital twin - viewed here as an instance of digital innovation - along with the challenges that arise and the mechanisms that enable this process. Through an in-depth qualitative case study of the Varna Port Digital Twin, a pilot in the European ILIAD project, we show that digital innovation emerged recursively, through a four-phased process. Furthermore, our findings point to three main challenges innate to this process: semantic interoperability, which was solved with a common data model and harmonization tools; data availability that was eased by reusing alternative sources and creating new data via in-situ sensors, synthetic generation and citizen science; data reliability and resilience, solved through diversification mechanisms.

SINTEF (NO), University of Oslo (NO), Nebb (Norway) (NO)
Industry, innovation and infrastructure
Openalex Percentile: Top 10%
Big Data and Business Intelligence
2.28
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Innovation Through Data Recombination - Varna Port Case Study of Digital Twin Creation — Raissa Pershina, Arne J. Berre, et al. · (2025) | TGRS Research Map | TGRS