The volume of published, scientific data is growing at an exponential rate. When carefully curated and paired with emerging technologies such as knowledge graphs, the data is a powerful catalyst to accelerate innovation across a wide range of disciplines. This talk explores the abiding value of intellectual curation to maximize the quality and utility of scientific data collections and highlights how CAS is leveraging knowledge graphs to enhance innovation across multiple use cases.