Kyushu Institute of Technology and JAIMA Sign Comprehensive Partnership Agreement

On May 15, 2026, the Kyushu Institute of Technology and the Japan Analytical Instruments Manufacturers' Association (JAIMA) signed a comprehensive partnership agreement aiming to achieve Research DX and build a data infrastructure through the promotion and utilization of the analytical data common format 'MaiML'. Both parties will jointly work on advancing international standardization, enhancing research information infrastructure, developing talent to support AI for Science, and implementing social solutions.
提携NQ 78/100出典:PR Times

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  • 📰 Published: May 22, 2026 at 19:10
  • 🔍 Collected: May 22, 2026 at 10:31
  • 🤖 AI Analyzed: May 22, 2026 at 11:01 (29 min after Collected)
The Kyushu Institute of Technology (Tobata-ku, Kitakyushu, Fukuoka; President: Takuo Yasunaga) and the Japan Analytical Instruments Manufacturers' Association (JAIMA; Kanda Nishikicho, Chiyoda-ku, Tokyo; Chairman: Masayuki Adachi / Representative Director and President, HORIBA, Ltd.) signed a comprehensive cooperation agreement on May 15, 2026, aimed at realizing and enhancing Research DX and data infrastructure through the domestic and international dissemination and utilization of the Measurement Analysis Instrument Markup Language (MaiML).

■ Key Points
- Strengthen collaboration for the dissemination and international standardization of MaiML
- Promote joint initiatives for the construction and enhancement of Research DX and data infrastructure
- Implement talent development and research infrastructure model development to support AI for Science

■ Overview
Kyushu Institute of Technology and JAIMA have signed this agreement to refresh advanced research infrastructure by promoting the domestic and international use of MaiML. The agreement aims to advance Research DX and data infrastructure development by centering on MaiML, promoting international standardization, enhancing research information infrastructure, developing talent to support AI for Science, and promoting social implementation in collaboration with relevant organizations.

■ Background
JAIMA has been working on standardizing analytical instrument data formats to adapt to a digital society, promoting the establishment of 'JIS K 0200: 2024 Common Data Format for Analytical Instruments' as the organization responsible for the original JIS proposal. Furthermore, aiming for Japan-led international standardization (ISO standards), it is currently engaged in international standardization activities, including proposing new international standards to ISO/TC201/SC3. Additionally, as part of domestic MaiML dissemination activities, it publishes the 'Guidelines for Handling Common Data Formats,' 'MaiML Schema Definition Files,' and 'Schema Check Manuals' on its website (https://www.maiml.org), conducts training sessions, and disseminates information at the JASIS Lab DX booth.

Meanwhile, the Kyushu Institute of Technology has played a leading role in national projects related to technology development and standardization for common analytical instrument data formats. Starting this fiscal year, it has been working with JAIMA on activities to propose new standards to ISO/TC201/SC3. Moreover, as an initiative for building Research DX and data infrastructure using MaiML, it is advancing R&D, demonstration experiments, and talent development for the advancement of MaiML, while also pushing forward plans to build advanced research infrastructure models using MaiML to promote AI for Science.

■ Future Outlook
This collaboration is expected to accelerate the development and enhancement of Research DX and data infrastructure using MaiML, and contribute to the strengthening of R&D capabilities and the development of society and industry in Japan's academia and industrial sectors, along with the advancement of AI for Science.

FAQ

Why is MaiML necessary?

It resolves data format inconsistencies across different manufacturers and instruments, enabling seamless data sharing and analysis to significantly improve research efficiency.

How will this partnership affect general companies?

Many companies using analytical instruments will benefit from automated data processing and advanced AI integration, leading to lower R&D costs and faster development times.

What are the specific future milestones?

The primary milestone is the submission of new international standard proposals to ISO/TC201/SC3, with a focus on expanding international awareness and adoption.