Establishing and Applying a Governance Framework

Establishing and Applying a Governance Framework

Responding to in-house and third-party software applications with limited integration capabilities, the Ohio DOT (ODOT) developed a data governance framework to improve data management efficiencies and reduce data duplication.

Area: Specify and Standardize Data
Subarea: Governance (A.5)
Element: All (A.5.a– A.5.d)

Step 1: Perform Maturity Assessment

ODOT contracted a study to measure the department’s maturity in data governance. A survey was created and administered to key ODOT data business owners. Recommendations from this study were to create data a governance framework and supporting policy and standards.

Step 2: Establish Governance Framework

A data governance structure was defined with oversight by the Chief Data Officer and a Data Governance Committee.

Step 3: Create Governance Standards, Roles, and Responsibilities

The Data Governance Committee led a project to implement enterprise data standards, define governance roles and responsibilities, and establish metadata management practices.

Step 4 (Future State): Treat Data as an Asset

Through increased awareness of governance processes, make ODOT a data-driven organization emphasizing data quality, availability, integrity, and usability.

Value Delivered

Consistent quality, availability, integrity and usability of data


Executive endorsement and vision from onset
IT collaboration and integration in project


Technical expertise in big data and industry standards


Identify and leverage data governance champions
Cross-department communication


Change management focus on value derived from the change

Ohio DOT: Establishing a Governance Framework

Data Governance Maturity Gap Chart – Spider diagram showing areas with lowest maturity levels to target governance needs.

Data Governance Framework - Recognizing management of data centered on People, Process and Technology – a culture change impacting nearly all ODOT staff.

Proposed implementation phases focused on a new agency-wide approach to data governance (based on calendar year).