Brazil Data Commons: A Platform for Unifying and Integrating Brazil's Public Data

TL;DR

Brazil Data Commons tackles Brazil's data fragmentation by delivering a semantic, ontology-based platform that unifies diverse public datasets. It combines a distributed web platform with a semantic ETL pipeline to build a knowledge graph and provide standardized APIs, while enforcing privacy risk assessments for microdata. The paper demonstrates interface features and four use cases—descriptive analytics, local spatial analyses, visualizations, and international benchmarking—to show cross-domain, multi-scale analytic capabilities with minimal technical effort. By aligning with the broader Data Commons ecosystem and enabling local deployment, the work offers a scalable, privacy-conscious data infrastructure with substantial potential to improve governance, transparency, and evidence-based decision-making in Brazil and the Global South.

Abstract

The fragmentation of public data in Brazil, coupled with inconsistent standards and limited interoperability, hinders effective research, evidence-based policymaking and access to data-driven insights. To address these issues, we introduce Brazil Data Commons, a platform that unifies various Brazilian datasets under a common semantic framework, enabling the seamless discovery, integration and visualization of information from different domains. By adopting globally recognized ontologies and interoperable data standards, Brazil Data Commons aligns with the principles of the broader Data Commons ecosystem and places Brazilian data in a global context. Through user-friendly interfaces, straightforward query mechanisms and flexible data access options, the platform democratizes data use and enables researchers, policy makers, and the public to gain meaningful insights and make informed decisions. This paper illustrates how Brazil Data Commons transforms scattered datasets into an integrated and easily navigable resource that allows a deeper understanding of Brazil's complex social, economic and environmental landscape.

Figures (8)

• Figure 1: Brazil Data Commons architecture.
• Figure 2: Brazil Data Commons Semantic ETL.
• Figure 3: Screenshot of Brazil Data Commons: Homepage.
• Figure 4: Screenshot of Brazil Data Commons: Knowledge Graph.
• Figure 5: Screenshot of Brazil Data Commons: Timeline.