Data Governance for Development: The Social Contract for Data

Data has the power to transform societies, yet millions of people remain excluded from its benefits or exposed to its risks. To harness this potential safely, we need a new framework for how data is collected, shared, and protected. This text-only course guides you through the foundational concepts of data governance for development, showing you how to establish a modern social contract for data. You will understand how to balance data value with trust, equity, and security to improve lives in underserved communities. What you'll learn: Understand the foundational pillars of a social contract for data, including trust, equity, and value; Analyze how data governance policies can combat poverty and improve public service delivery; Explore modern data privacy frameworks and ethical guidelines for responsible data collection; Evaluate public-private data sharing models and the role of data trusts in protecting public interest; Address systemic risks in data systems, including algorithmic bias and security vulnerabilities. You will start with key terminology and the core philosophy of data-driven development before moving into real-world policy frameworks and written case studies. Through structured readings and practical scenarios, you will learn to design ethical data policies that respect individual rights while maximizing societal value. This course is designed for beginners, policymakers, development practitioners, and anyone interested in data ethics, with no prior technical or data science experience required. Begin your journey into ethical data governance today.