Merck’s Informatics IT team has developed the Information Landscape Knowledgebase, a semantically rich, intuitively accessible model of information types and sources across Merck. In this presentation, we discuss how the solution takes advantage of underlying semantic models and novel visualizations to address the needs of both scientists and data stewards while providing valuable insights for IT resourcing.
Pharmas of all sizes possess a wealth of information across hundreds of data sources at all levels of the organization from basic and clinical research to drug safety and commercial competitive intelligence. Without a cohesive understanding of which data sources include which types of information, how they are used and who uses them, the potential value of this information is far from realized. IT organizations have used traditional enterprise data management solutions to track data sources as best they can. However, complexity of these tools does not allow the data stewards to provide first-hand insight about their data sources or scientists to explore and discover new sources. The results are under-utilization and duplication of data, leading to undiscovered knowledge and inefficient IT spending. By leveraging semantic models and visualizations, our Information Landscape Knowledgebase overcomes these traditional challenges to weave together an easily understood, discoverable, and analyzable view into a huge diversity of information sources across Merck.