Shared Data × Open Science × Cross-National Transportability – Vision or Fantasy in Real-World Evidence?
Vision or fantasy in real-world evidence? Three international speakers explored how open science, common data models, and research using Korean healthcare databases can help turn cross-national research from concept into practice.
Building a Shared Research Language Across Countries and Databases
As real-world evidence (RWE) plays an increasingly important role in clinical and regulatory decision-making, the process of evidence generation is undergoing a fundamental transformation. Open science, research transparency, and common data models are no longer separate concepts; together, they form a critical foundation for strengthening the quality, credibility, and impact of research.
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This lecture provided valuable insights into how existing data can be effectively used to generate and apply real-world evidence, and how open science can support the development of high-quality real-world research.
As real-world evidence (RWE) continues to play an increasingly important role in clinical and regulatory decision-making, the process of evidence generation is undergoing several important changes. Open science, transparency, and common data models are becoming increasingly interconnected, collectively strengthening the global impact of RWE.
Thank You to Our Three Distinguished Speakers
Dr. Kenneth Man
Dr. Ju-Young Shin
