Real-world data certainly plays a substantial role in understanding human health and disease. However, scientists find it increasingly difficult to extract research-specific data from massive unstructured and uncoded data sets. “What we are seeing now is a more proactive anticipatory mission to connect multiple repositories of health data and to enable a strongly de-identified, but fully anonymized, data set to be available for research questions,” Dipak Kalra, President of The European Institute for Innovation through Health Data, tells host Deborah Borfitz. In this episode, Kalra speaks about the rise of research data networks and the facilitation of more effective and affordable research. He provides details about the growing challenges facing research teams and the new regulations imposed by the European Commission. Finally, Kalra shares his thoughts on how COVID changed the public’s perception of health data and encouraged quick and innovative knowledge sharing. “The pandemic is a situation from which we can learn and on which we must build because we would be negligent if we don’t,” warns Kalra. “The pandemic has shown how important it is to learn from big data in near to real-time in a way that absolutely transcends country boundaries.”