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Building Data Together: Analysis and Summary

The OECD Geospatial Lab workshop explored the emerging ecosystem of "open geospatial microdata," a critical domain at the intersection of geospatial and statistical data. These digital common-pool resources support evidence-based policymaking in areas like climate resilience, urban planning, disaster management, and energy efficiency, addressing major societal challenges. The workshop highlighted opportunities and challenges in creating high-resolution, georeferenced datasets, while emphasizing the need for collaboration to establish global standards, improve data quality, and develop open infrastructure.

Key Opportunities

• Data Ecosystem Growth: Open georeferenced microdata on buildings is enabling innovative applications across scales. These datasets are increasingly foundational for policy analysis, and advancements in AI, conflation, and open data platforms are enhancing data availability and usability.
• Cross-Sector Collaboration: Initiatives like Overture Maps and the Global Dynamic Exposure Model demonstrate how diverse stakeholders (governments, private sector, academia, humanitarian organizations) can pool resources to create sustainable and interoperable systems.
• Global Power: Digital tools and AI are democratizing access to data, particularly in developing contexts, supporting progress toward the UN Sustainable Development Goals.

Notable Contributions

• Building Data Ecosystem: Effective integration of data sources like Microsoft Buildings, OpenStreetMap, and cadastral systems is advancing coverage and quality through conflation and automated inference.
• Community-Driven Data Commons: Models like Overture Maps are standardizing foundational building data, ensuring linkages across datasets and enabling efficient distribution to users.
• AI and Explainable Insights: Explainable AI (XAI) techniques enhance the practical use of complex models, making energy efficiency and climate risk data accessible for decision-making.

Challenges

• Data Quality and Standardization: Inconsistent coverage, completeness, and metadata frameworks hinder usability. Establishing common identifiers, definitions, and quality benchmarks is crucial.
• Governance and Sustainability: The proliferation of data sources creates fragmentation. Developing global governance frameworks and partnerships is essential for sustainability and equitable access.
• Access and Capacity: Technical barriers and fragmented data limits usability for policymakers and communities, particularly in the Global South. Open-source tools and capacity building are key.

Call for a Global Open Data Partnership

The workshop advocated for a Global Open Data Partnership to steward these digital common-pool resources. It would:

• Adopt a stepwise approach, balancing short-term goals with long-term capacity building.
• Prioritize quality frameworks and standardized concepts to enhance data interoperability.
• Promote inclusive governance to ensure broad participation and equitable resource use.
• Support capacity development for governments and communities to leverage data effectively.
• Foster collaboration between international organizations, governments, private sector entities, academia, and civil society.

Concluding Insights

Open georeferenced microdata is emerging as a critical enabler for sustainable development. However, realizing its full potential requires coordinated governance, quality standards, and capacity building. The establishment of a Global Open Data Partnership represents a pivotal step toward unlocking the transformative potential of data for societal resilience and inclusive growth.