ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science
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| Autores principales: | , , , , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866912191439962112 |
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| author | Hanai, Masatoshi Ishikawa, Ryo Kawamura, Mitsuaki Ohnishi, Masato Takenaka, Norio Nakamura, Kou Matsumura, Daiju Fujikawa, Seiji Sakamoto, Hiroki Ochiai, Yukinori Okane, Tetsuo Kuroki, Shin-Ichiro Yamada, Atsuo Suzumura, Toyotaro Shiomi, Junichiro Taura, Kenjiro Mita, Yoshio Shibata, Naoya Ikuhara, Yuichi |
| author_facet | Hanai, Masatoshi Ishikawa, Ryo Kawamura, Mitsuaki Ohnishi, Masato Takenaka, Norio Nakamura, Kou Matsumura, Daiju Fujikawa, Seiji Sakamoto, Hiroki Ochiai, Yukinori Okane, Tetsuo Kuroki, Shin-Ichiro Yamada, Atsuo Suzumura, Toyotaro Shiomi, Junichiro Taura, Kenjiro Mita, Yoshio Shibata, Naoya Ikuhara, Yuichi |
| contents | In modern materials science, effective and high-volume data management across leading-edge experimental facilities and world-class supercomputers is indispensable for cutting-edge research. However, existing integrated systems that handle data from these resources have primarily focused just on smaller-scale cross-institutional or single-domain operations. As a result, they often lack the scalability, efficiency, agility, and interdisciplinarity, needed for handling substantial volumes of data from various researchers. In this paper, we introduce ARIM-mdx data system, aiming at a nationwide data platform for materials science in Japan. Currently in its trial phase, the platform has been involving 11 universities and institutes all over Japan, and it is utilized by over 800 researchers from around 140 organizations in academia and industry, being intended to gradually expand its reach. The ARIM-mdx data system, as a pioneering nationwide data platform, has the potential to contribute to the creation of new research communities and accelerate innovations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_06734 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science Hanai, Masatoshi Ishikawa, Ryo Kawamura, Mitsuaki Ohnishi, Masato Takenaka, Norio Nakamura, Kou Matsumura, Daiju Fujikawa, Seiji Sakamoto, Hiroki Ochiai, Yukinori Okane, Tetsuo Kuroki, Shin-Ichiro Yamada, Atsuo Suzumura, Toyotaro Shiomi, Junichiro Taura, Kenjiro Mita, Yoshio Shibata, Naoya Ikuhara, Yuichi Distributed, Parallel, and Cluster Computing In modern materials science, effective and high-volume data management across leading-edge experimental facilities and world-class supercomputers is indispensable for cutting-edge research. However, existing integrated systems that handle data from these resources have primarily focused just on smaller-scale cross-institutional or single-domain operations. As a result, they often lack the scalability, efficiency, agility, and interdisciplinarity, needed for handling substantial volumes of data from various researchers. In this paper, we introduce ARIM-mdx data system, aiming at a nationwide data platform for materials science in Japan. Currently in its trial phase, the platform has been involving 11 universities and institutes all over Japan, and it is utilized by over 800 researchers from around 140 organizations in academia and industry, being intended to gradually expand its reach. The ARIM-mdx data system, as a pioneering nationwide data platform, has the potential to contribute to the creation of new research communities and accelerate innovations. |
| title | ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2409.06734 |