There are three phases that need to be considered related to data and the desired end use: Data collection, data management, and data analytics.
Data collection involves the acquisition of datasets associated with site location, weather conditions, traffic, soil type, pavement condition, sensor data, and other factors influencing the performance of a particular geotechnical asset. Depending upon the area, monitoring frequency, and number of factors considered, the data can be difficult to manage due to sheer volume. That is where appropriate data management platforms and techniques need to be implemented and to make the best use of the data. This is especially true when multiple data sets from various sources are needed to work together in the next phase, data analytics. In particular, the use of computer models and AI to extract useful and actionable information from the data pertaining to various assets is of great interest. For example, performance prediction models, to help prioritize maintenance strategies of highway agencies and state departments of transportation (DOTs), are a desired outcome.
- Geosyntec Authors: Jamey Rosen
- All Authors: Jamey Rosen
- Title: The National Academies of Sciences, Engineering, and Medicine
- Event or Publication: Event
- Practice Areas: Data Interpretation, Synthesis, Visualization, and GIS
- Citation: Jamey Rosen, P.Geo. (Ontario) will present "Current Activities and Future Directions from a Data Manager" in workshop "1021 - Getting the Most Out of Big Data Analytics for All Facets of Transportation Geotechnics" at the Transportation Research Board (TRB) 100th Annual Meeting. This is a virtual event hosted by The National Academies of Sciences, Engineering, and Medicine at 2:00 - 5:00 p.m. ET on January 21, 2021.
- Date: January 21, 2021
- Location: Virtual Conference
- Publication Type: Platform Presentation