Abstract So-called big data are potentially useful in the healthcare field and are of interest to researchers, industry, and government agencies. Over the past 10 years, Europe, the United States, and Asia have been making efforts to collect and systematically manage information on the entire process from clinical trials to follow-up management of medical devices (MD). We developed MD lifecycle research database at the Ministry of Food and Drug Safety (MFDS) of the Republic of Korea, consisting of 61 tables and 2,053 variables. The MFDS possesses statistical information on all MD, pharmaceuticals, foods, and human tissues produced and distributed. The information in the database is categorized according to four MD lifecycle phases-clinical trial, approval, production, and post-approval. For the clinical trial phase, the database contains information on planning and approval of clinical trial and non-clinical trial. The approval phase includes information on models, raw materials, quality, and changes, while the production phase stores information on production, import, export, supply and use. For the last step, follow-up management phase, provide information on post-marketing safety management, risk management, and administrative disposition. All four steps are linked based on primary key, so it is possible to understand information on the overall MD lifecycle. The MD Lifecycle Research Database will help strengthen the industry’s competitiveness in terms of cost-effectiveness in MD development and facilitate policy monitoring by improving its utilization in the public interest. This database contains information on all MD produced and distributed in Korea depending on the phases of the MD lifecycle, and data is easily accessible due to the lack risk of personal information exposure, so it can be widely used by individual researchers, industries, academia, and governments. Funding This research was supported by a grant (22063MFDS498) from ministry of food and drug safety in 2024. Key messages • We developed a medical device lifecycle database that enables tracking management according to the medical device lifecycle. • This database can be used as a scientific basis to ensure the safety, effectiveness, and efficiency of medical devices.
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