In this paper, we introduce a methodology that makes use of a large number of journal articles to support the design problem. In our methodology we discuss tools to determine proper content in individual citations, link the content in individual and across multiple citations to develop a network, and subsequently use network science to describe the topology and evolution of the network. We label these steps Reading, Assembly, and Interpretation, respectively. We develop a tripartite design network structure and discuss network partitioning and projection into unipartite and bipartite networks for visualization. The chemical design problem is used as a design paradigm with an open access subset of over 700,000 journal articles. In a chemotherapy case study, the most frequent drugs, uses of these drugs, and the distributions of these drugs are discussed. Network science metrics and algorithms are introduced to investigate network topology and evolution. Finally, we conclude by discussing other applications of this work.