Putting Data Governance First: A People Centered Approach To Transportation Innovation In Canada
Estimated reading time: 6 minutes
Across Canada, transportation agencies are collecting more data than ever before, from traffic sensors and cameras to connected vehicles. This offers huge opportunities to improve safety and mobility, but one lesson is clear from our work with public-sector clients: technology alone does not create better outcomes. Without strong data governance, even the most advanced tools struggle to deliver lasting value. Many organizations face constraints like limited staff, legacy systems, and unclear data ownership that slow the adoption of new technologies. Fundamentally, overcoming these challenges starts with a structured approach to managing data and building trust.
Why Data Governance Matters
At its heart, data governance is about establishing trust. It defines how data is collected, who owns it, how it flows across the organization, and how it’s used responsibly.
Most importantly, it aligns data practices with core values such as safety, transparency, privacy, and public accountability. Good data governance isn’t bureaucracy and red tape; it creates a foundation that allows data and any technology interacting with it to be reliable and used in service of community goals. Trust in data enables people to confidently embrace new analytics and tools built on that data.
An Integrated Approach In Action
A strong example comes from our work in one major city in the Greater Toronto Area in support of its Transportation Master Plan and Vision Zero commitment. Rather than treating data, traffic operations, and road safety as separate efforts, the City pursued an integrated approach focused on building a practical foundation for long-term decision-making. Parsons’ team supported the City in developing three interrelated improvement plans. The first modernized traffic management with a measurable roadmap for how traffic is monitored, managed, and evaluated. The second delivered a clear strategy to modernize transportation data practices and establish a data governance framework defining data ownership, roles, and lifecycle management. The third plan addressed road safety, providing procedures and improvements aligned with Vision Zero principles.
What made this approach effective is that data governance was treated as essential, not as a bottleneck. By aligning traffic management, data governance, and safety within one coordinated framework, the City created the conditions needed to responsibly adopt advanced analytics and emerging tools, including Artificial Intelligence (AI), while maintaining transparency and public trust. In other words, strong data governance allows innovation to happen faster and more sustainably.
Adopting New Technologies
New pilot technologies such as video analytics for traffic counts or AI models to flag collision hot spots could be rolled out knowing the underlying data is well-managed and context-rich. Staff and stakeholders can understand where the data comes from and its quality, so they can trust the AI-driven insights and apply their professional judgment appropriately. The data governance isn’t implemented for AI’s sake; it’s implemented for people’s sake, giving decisionmakers confidence in outputs.
Adapting To Local Canadian Needs
Data governance is not one-size-fits-all. In another rapidly growing Canadian city, our team is helping establish a baseline of the City’s transportation data and convened staff from transportation, IT, and other departments to identify pain points. The findings were familiar: data is fragmented across silos, with no single “source of truth,” making it hard for staff to find or trust information in a timely way. We’re helping the City take steps to establish a central, accessible data hub and clear stewardship roles to break down those silos. By starting with a realistic data management strategy and governance framework tailored to the City’s needs, it will be able to better manage its multimodal transportation data as a unified asset.
Although each city’s context differs, the guiding principle is the same: people-first, iterative, and strategic, putting people and process before technology. We apply user-centered design and change management principles, so solutions fit their organizations.
Stakeholders from planning, operations, IT, and even legal and privacy offices are engaged through workshops and interviews to empathize with their needs. Our iterative methodology breaks large transformation efforts into small, manageable slices for facilitating change. This way, we’re positioned to deliver early wins that demonstrate value, build buy-in, and inform the next iteration turning disruptive changes into sustainable evolution.
Enabling Sustainable Innovation
With a solid data governance foundation in place, Canadian transportation agencies can confidently embrace innovations like AI, IoT, and smart mobility programs. This is because AI is most effective when built on well-understood data and clear governance structures. By addressing data management and governance first, agencies can focus on driving meaningful outcomes through the deployment of new technologies.
Effective data governance also involves investing in people. Even a small team, empowered with the right training and mandate, can ask better questions, challenge vendor solutions, and steward data responsibly. Technology can accelerate work, but human expertise is needed to make sure it’s implemented and used ethically and effectively. Establishing data governance working groups or identifying data champions within teams and organizations help maintain focus on continuous improvement. Consequently, it creates a culture where data is seen as a strategic asset across the organization, not just a concern for IT.
For resource-constrained organizations, it’s even more important to start small and build momentum. This might mean beginning with an inventory of existing data and focusing on one high-priority use case. By demonstrating quick improvements in cross-department collaboration and results for that use case, agencies can secure buy-in to expand governance efforts to other areas. Data governance frameworks can and should evolve as technology and needs evolve, but they will stay anchored in each organization’s values.
An Opportunity For Canada
Canada has an opportunity to lead in smart, connected transportation by building a people-centered data foundation.
By adopting shared best practices, open standards, and consistent governance frameworks, transportation agencies can better support safety, equity, climate goals, and mobility across the country. As AI and other technologies advance, trust must come before technology. Strong data governance is what makes innovation sustainable, defensible, and truly valuable to the public. By starting with governance and letting it guide each step, Canadian transportation agencies can confidently harness innovation to improve transportation for everyone.