This project illustrates the criticality of stewardship and formal oversight for data standards within an organization. The case study reveals the necessity to engage across all levels of the organization to ensure that there is investment to provide a comprehensive, sustainable governance structure established by policy. This case study demonstrates how a specific DOT could advance governance elements from practice level 1 or 2 up to practice level 3, by implementing improvements for stewardship roles and governance structures, data management maturity self-assessments, and data and integration through process mapping.

This project demonstrates establishing enterprise standards and driving consistency so that statewide inventory can be collected uniformly. This project also illustrates the careful analysis of determine data value to guide investment decisions on how much data to collect and when dealing with large data sets the importance of automating processing steps to create efficiencies.

This case study demonstrates how a specific DOT could advance these elements from practice level 2 to practice level 3, by implementing improvements for manual data collection automation and collection tools and methods consolidation.

This project showcases the value of defining data collection standards and data capture strategies that allow for consistency field data collection. These are foundational to development of mobile field data collection tools and downstream analysis tasks. Also highlighted in this project is the cost benefit analysis that must be made with respect to software customization decisions.

This case study demonstrates how a specific DOT could advance these elements from practice level 3 to practice level 4, by implementing improvements for automated data quality collection audits.

This project showcases the ability to leverage Federal requirements as an impetus to addressing a larger and more complex issue. Additionally, this project reveals the importance of change management and careful attention to understanding in entirety:

• the business process,
• what will change, and
• how it will affect the stakeholders.

The training and certification aspects of the case study illustrate a method to support sustained change.

This case study demonstrates how a specific DOT could advance these elements from practice level 1 to practice level 2 or 3, by implementing improvements for data quality collection plan.

This project exemplifies the value of leveraging asset inventory and condition data into the project delivery phase. This project also shows that investments in one asset life-cycle stage can pay dividends in another, the additional returns on investment by looking at the larger life cycle viewpoint can be considered to aid justification of new data and digitalization projects.

This case study demonstrates how a specific DOT could advance this element from practice level 3 to practice level 4, by implementing improvements for asset life-cycle data transfers automation.

The project illustrates the accumulated value and derived benefits from normalizing ratings and metrics to support cross asset planning. This work further demonstrates the value of dashboards and visualization techniques
to support decision making as well as making those decisions on prioritization defensible.

This case study demonstrates how a specific DOT could advance this element from practice level 2 to practice level 3, by implementing improvements for network-level performance monitoring programs.