Jaskula, Klaudia;
Papadonikolaki, Eleni;
Rovas, Dimitrios;
(2022)
Conceptual framework for decentralised information management along the entire lifecycle of a built asset.
In:
Proceedings of the 2022 European Conference on Computing in Construction: 2022EC3.
European Council on Computing in Construction (EC3): Ixia, Rhodes, Greece.
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Abstract
The construction industry is characterised by a high level of fragmentation, inefficient collaboration and a lack of trust between project stakeholders. Issues due to the fragmented nature of the construction industry are extenuated from centralised Building Information Modelling approaches. Blockchain technology can help address information management issues by providing data traceability, transparency, and immutability. First, this paper reviews centralised and decentralised approaches to lifecycle information management. Second, a conceptual framework for decentralised information management workflow based on blockchain technology and the Inter-Planetary File System is proposed. Smart contracts can improve the information flow between different phases by providing more accountability.
Type: | Proceedings paper |
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Title: | Conceptual framework for decentralised information management along the entire lifecycle of a built asset |
Event: | 2022 European Conference on Computing in Construction |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.35490/ec3.2022.168 |
Publisher version: | https://doi.org/10.35490/EC3.2022.168 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | BIM; lifecycle; information management; blockchain; IPFS |
UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10153670 |
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