Code Glow-Up: Modernizing Mission-Critical Data Infrastructure
You open a long code script and immediately feel overwhelmed. You’re trying to understand why something is done a certain way, or you’re untangling a web of code across Stata, SAS, Excel, and one-off calculations. Does this sound familiar?
You open a long code script and immediately feel overwhelmed. You’re trying to understand why something is done a certain way, or you’re untangling a web of code across Stata, SAS, Excel, and one-off calculations. Does this sound familiar?
For government statistical agencies, this kind of legacy infrastructure isn’t just a headache; it supports data that researchers, policymakers, and the public rely on.
Join Coleridge for a conversation about giving mission-critical data systems a modern-day “glow-up.” We’ll explore the transition from aging, high-maintenance code and tool spaghetti to more efficient, open-source infrastructure designed to make statistical data production more transparent, accessible, maintainable, and reproducible.
The session will share practical lessons from our multi-year collaboration with the U.S. Department of Agriculture’s Economic Research Service (USDA ERS). These lessons include approaches to managing and documenting code, improving workflows, and transitioning to modern tools and processes, even when teams have limited time and resources.
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