Construction Research Congress 2022 2022
DOI: 10.1061/9780784483954.022
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Transportation Asset Data Management: BIM as a Holistic Data Management Approach

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Cited by 6 publications
(2 citation statements)
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“…All changes conducted for assets through the project execution and its whole lifecycle should be collected accurately and promptly to ensure effective TAM and proper operation and maintenance (O&M) [44]. However, state DOTs are facing Roadmap to a Holistic Highway Digital Twin: A Why, How, & Why Framework DOI: http://dx.doi.org/10.5772/intechopen.108546 several challenges integrating data across systems and throughout the asset lifecycle [45], and they need to focus on six major data management practices that are data collection, data handling, data flow, data transfer, data governance, and data integration to achieve a seamless data management approach and improve the value of data to enable informed decision-making [46].…”
Section: Why the Need For A Holistic Digital Twin For A Highway Systemmentioning
confidence: 99%
“…All changes conducted for assets through the project execution and its whole lifecycle should be collected accurately and promptly to ensure effective TAM and proper operation and maintenance (O&M) [44]. However, state DOTs are facing Roadmap to a Holistic Highway Digital Twin: A Why, How, & Why Framework DOI: http://dx.doi.org/10.5772/intechopen.108546 several challenges integrating data across systems and throughout the asset lifecycle [45], and they need to focus on six major data management practices that are data collection, data handling, data flow, data transfer, data governance, and data integration to achieve a seamless data management approach and improve the value of data to enable informed decision-making [46].…”
Section: Why the Need For A Holistic Digital Twin For A Highway Systemmentioning
confidence: 99%
“…Thus, state DOTs must focus on six significant data management practices to achieve a seamless data management approach and improve data value to enable informed decision-making. These six practices are data collection, data handling, data flow, data transfer, data governance, and data integration (12). This can be achieved by improving the state DOTs' technological capabilities by adopting emerging technologies (13).…”
mentioning
confidence: 99%