The Korea Institute of Machinery and Materials announced on the 25th that it has launched the 'KIMM Data Platform,' which publicly discloses metadata of machine research data held by the institute and connects data users and providers. It explained that this marks the first time a government-funded research institute has publicly disclosed its research data.

This platform is designed not merely to list data, but to allow verification of what data exists, along with the experimental conditions under which the data was generated, the equipment environment, and producer information. Based on this, users can explore necessary data and explore the possibility of collaborating with the researchers who produced it. A guidebook summarizing the data acquisition process and utilization methods is also provided to enable application in actual research and industrial settings. In some fields, raw data usable for AI training, such as bearing degradation data and real-time measurement data for indoor air quality control, has also been released.

The data to be released is organized around the KIMM’s eight key development fields. It includes data related to the hydrogen society, AI robots, mobility, bio-medical, advanced manufacturing equipment, energy technology, environment and resource circulation, and defense technology, and its scope of application has been expanded by linking it with foundational technology fields such as AI/DX, virtual engineering platforms, reliability evaluation, and nano-convergence.

Machine data is difficult to interpret based solely on numerical values; its utility is enhanced when contextual information, such as experimental equipment, conditions, and operating environments, is provided alongside it. In particular, in the field of physical AI, where AI learns and analyzes the movements of actual machinery and equipment, this conditional information is considered a factor directly linked to model performance. Given that machine data for AI training has historically been limited in both quantity and accessibility in industrial and research settings, this release is regarded as an attempt to herald a shift in research and development methods.

The Korea Institute of Machinery and Materials (KIMM) plans to operate this platform so that it serves as a connecting channel leading to joint research and technological cooperation, rather than merely stopping at data disclosure. Through the platform, the industrial sector, universities, research institutes, and startups can identify necessary data and pursue collaboration with researchers. Moving forward, KIMM plans to gradually expand the scope of data disclosure, focusing on data with high potential for AI application, and will also host a data challenge at the Westin Chosun Busan Hotel on June 25 in collaboration with the Korean Society of PHM.