It is well-known that one of the main causes of problems affecting social-technical systems, including nuclear power plants (NPPs), is human error. For this reason, reducing human error through human reliability analysis (HRA) is important. Furthermore, sufficient and reliable human performance data collection is a prerequisite for ensuring the safety of NPPs. The Korea Atomic Energy Research Institute developed the Human Reliability data EXtraction (HuREX) framework to provide a standard guideline for the collection and analysis of human performance data from operators in main control rooms based on simulator training records of NPPs. To do this, the development of a computerized software interface is required to collect simulator-based human performance data systematically and then to enter/analyze/quantify the various forms of data obtained from the simulator. In addition, a HRA database is needed for the effective management of the data generated during this process. In this research, we develop an interface that supports HuREX analysis so that HRA practitioners can conduct more effective HRA data analyses by integrating various types of raw data (e.g., audiovisual records, plant parameters, and operator action logs) collected from simulators. In addition, we expand the OPERA database to store a standardized data structure for more effective analyses of unsafe acts via the HuREX data analyzer and the HuREX video analyzer.