PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
October 13, 2025Smart and Sustainable Built Environment8 citations

Securing information flow: a data traceability schema – dtsBC for IoT, BIM and blockchain integrations

View Full Paper
RBRoberto BrandínSASepehr Abrishami

Key Points

  • A robust data traceability schema can enable seamless integration between BIM, IoT, and blockchain technologies.
  • The schema uses a hierarchical data taxonomy to classify supply chain information and its relationships across system layers.
  • It outlines how data relationships are mapped, ensuring compatibility between different platforms in the supply chain.
  • This research establishes a foundation for a trusted data repository, enhancing data quality and operational reliability.

Abstract

Purpose While current research on the Internet of Things (IoT), Building Information Modelling (BIM), and blockchain technology (BCT), IoT-BIM-BCT integrations primarily focus on system architectures, a critical gap remains in defining the structure, relationships, and formats of supply chain data across these platforms. This paper introduces a data traceability schema based on blockchain technology (dtsBC) to standardise and map how BIM data is translated into formats compatible with the IoT and blockchain layers. Design/methodology/approach The proposed framework employs a hierarchical data taxonomy to classify supply chain information and organise its relationships across system layers. A data ontology further contextualises the interdependencies of entities within the integration. Findings This study demonstrates that a robust dtsBC can enable seamless integration between BIM, IoT, and blockchain technologies. It also establishes a foundation for developing a trusted data repository, ensuring transparent data governance, information flow, and verification processes. Practical implications The proposed schema benefits supply chain stakeholders in offsite manufacturing and the broader architecture, engineering, and construction (AEC) industry. It outlines how data relationships are mapped and translated to achieve asset traceability and lifecycle management. Originality/value This research contributes to the field by defining a comprehensive dtsBC that standardises data exchange processes while ensuring compatibility between BIM, IoT, and blockchain platforms. It paves the way for a smart object repository that stores verified data records, enhancing data quality and operational reliability.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Brandín et al. (2025) studied this question.

synapsesocial.com/papers/68ec51df42911f61ef8b2187https://doi.org/10.1108/sasbe-01-2025-0040
Ask AI
Helpful
Bookmark
Share
View Full Paper