Objective: In recent years, the Chinese government has attached great importance to occupational health under the guidance of people-oriented concept. This paper introduces the current status and future development of occupational health in China’s Thirteenth Five-Year Plan (13th FYP) period (2016-2020) to promote the cooperation and exchange on occupational health between China and other countries. Methods: We collected statistical data about occupational diseases and information addressing occupational diseases. We included all types of official reports, guidelines, policies, and relevant laws published by the Chinese government. Results: China has carried out a series of strategies and measures to reduce the incidence of occupational diseases, and has made progress in occupational health protection. However, occupational health in China still faces severe conditions and challenges for occupational diseases that have not been prevented and controlled effectively. To actively promote the future development of occupational health during the 13th FYP period, China has issued a series of important policy documents (such as the Plan for a Healthy China 2030, the 13th FYP for Occupational Disease Prevention and Control, and the 13th FYP for Occupational Health Hazard Prevention and Control) in the last two years. Conclusion: The overall situation condition of occupational health in China is still serious. Occupational health in China’s 13th FYP period faces a series of challenges, future tasks include plans to add the employer and regulatory levels of occupational health management, and occupational health education and publicity to the current technology-dominated approaches.

Big data is now widely used in many fields and is also widely applied to the integration of disciplines. Traditional methods of safety psychology are not well suited for analyzing psychological states, especially in the management of human factors in industrial production. Also, big data now becomes a new way to excavate related insight by analyzing a large amount of psychological data. So, this paper is to propose the concept of big data of safety psychology (BDSP) and to illustrate the challenges of applying big data in safety psychology. First, this paper puts forward the concept of BDSP and analyzes the difference between BDSP and traditional sample data. Subsequently, this paper summarizes the classification standard and basic characteristic of BDSP, explores the framework of BDSP and then constructs a three-dimensional structure of BDSP. Lastly, this paper discusses the challenges of using BDSP. This study is of great help to safety practitioners to solve psychological issues in the safety domain, and points out one of the research trends of human factor in industrial safety.