Alexander Jarasch, head of data and knowledge management at the German Center for Diabetes Research in Munich, Germany, discusses the challenges of integrating diverse research data to better prevent and treat diabetes. The organization is using a Neo4j graph database to connect and visualize data from various disciplines, locations, and species, enabling researchers to answer complex questions and identify new insights into diabetes prevention and treatment. The goal is to extend the graph with publicly available literature data, including peer-reviewed articles, to improve pattern recognition and machine learning techniques for individualized treatment and prevention of diabetes.