Journal of Information Technology in Construction
Journal of Information Technology in Construction
ITcon Vol. 30, pg. 963-988, http://www.itcon.org/2025/39
Proposing a Digital Twin DataDOSE Framework for Asset Management in State Departments of Transportation
| DOI: | 10.36680/j.itcon.2025.039 | |
| submitted: | June 2024 | |
| revised: | June 2025 | |
| published: | June 2025 | |
| editor(s): | Robert Amor | |
| authors: | Hala Nassereddine, Ph.D. Associate Professor, Department of Civil Engineering, University of Kentucky, USA
ORCID: https://orcid.org/0000-0001-7952-5034 hala.nassereddine@uky.edu Amin Khoshkenar, Ph.D. student, Department of Civil Engineering, University of Kentucky, USA ORCID: https://orcid.org/0009-0003-3648-0632 amin.khoshkenar@uky.edu Francesca Maier, Principal, Fair Cape Consulting, Richland WA, USA ORCID: https://orcid.org/0000-0001-9897-242 ches@consultfaircape.com William S. Pratt, Principal Engineer, Connecticut Department of Transportation, CT, USA william.pratt@ct.gov Bassam Ramadan, Ph.D. Candidate, Department of Civil Engineering, University of Kentucky, USA ORCID: https://orcid.org/0000-0003-2517-2733 bara235@uky.edu Makram Bou Hatoum, Pyrovio, Ann Arbor MI, USA ORCID: https://orcid.org/0000-0002-8824-3941 bouhatoum@outlook.com Alexa Mitchell, Transportation BIM Program Manager, HDR, Phoenix AZ, USA Alexa.Mitchell@hdrinc.com | |
| summary: | The economic competitiveness, quality of life, and travel safety of a state hinge on the effective management of its transportation assets as overseen by the state and local jurisdictional Departments of Transportation (DOTs). To operate, maintain, upgrade, and expand assets, Transportation Asset Management (TAM) was developed as a strategic and systematic data-driven decision-making process that relies on quality asset data to guide decision-making. However, within state DOTs, every division that interacts with an asset documents parts of its history, resulting in data fragmentation. This shifted the focus of state DOTs to digital project delivery and Digital Twins to close the gap in capturing data and leverage the effectiveness of TAM. The following paper contributes to the data discourse withing state DOTs and proposes the DataDOSE framework that is data- and user-centered to support successful data-driven asset management decision-making in state DOTs. The framework is a middle-out approach that does not rely solely on top-down directives, but rather fosters a collaborative culture where ideas flow both upward and downward in the agency, empowering all stakeholders to contribute their valuable insights. DataDOSE encompasses four steps: Defining assets through the lens of data, Organizing asset data into the Asset Data Structure, Strategizing with a Data Governance Plan, and Executing with a Data Management Plan. This paper discusses the elements that state DOTs need to consider in answering why data is important, what data is needed, and how to govern and manage data. This paper builds the foundation for multiple future directions including developing a user-friendly digital tool based on the DataDOSE framework, establishing appropriate Key Performance Indicators (KPIs) to measure the framework's effectiveness, and ultimately creating guidance documents and training materials to facilitate the adoption of the DataDOSE framework across state DOTs. | |
| keywords: | Asset Data Management, Digital Project Delivery, Digital Twin, Data Framework | |
| full text: | (PDF file, 1.006 MB) | |
| citation: | Nassereddine H, Khoshkenar A, Maier F, Pratt W S, Ramadan B, Bou Hatoum M, Mitchell A (2025). Proposing a Digital Twin DataDOSE Framework for Asset Management in State Departments of Transportation, ITcon Vol. 30, pg. 963-988, https://doi.org/10.36680/j.itcon.2025.039 | |
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