Developing integrated classification system to provide systematic information of science and technology policy

To support evidence-based science and technology policy, it is important to provide information systematically through platforms such as a decision support system. This study suggests an integrated classification system for categorizing information as a way to provide it systematically. The integrated classification system was developed by analysis of relationship among keywords of R&D classification systems in Korea. To establish an integrated classification system, network analysis was performed to define clusters consisting of keywords which have high relationship. Dataset used for analysis was project data from Governmental R&D Survey, and the network was considered undirected weighted network whose nodes are defined as keywords of R&D classification systems. Finally, keywords representing the clusters within the network were defined as criteria of the integrated classification system. In addition, it was discussed that application for integrating and categorizing information to support evidence-based decision-making. Finally, this study is expected to contribute to the advancement of decision support system for evidence-based science and technology policy.