The GDB integrates data use, inclusion, and data foundations for AI throughout its framework to reflect the interconnected dynamics of data governance and availability.

Data use is considered beyond isolated case studies, offering a more holistic view of how information is translated into action across sectors—though findings reveal persistent fragmentation, uneven capacity, and gaps in incentives. Inclusion deepens the analysis by examining whether data ecosystems serve diverse populations equitably, with new questions highlighting barriers faced by people with disabilities and speakers of underrepresented languages. Meanwhile, the growing influence of artificial intelligence brings urgency to assessing whether national data systems are equipped for AI, with relevant elements incorporated across areas such as data literacy, protection, sharing, and reuse.

Taken together, these lenses offer a richer understanding of not only what data is available, but how it is governed, applied, and experienced by different communities.