ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science Article Swipe
M. Hanai
,
Ryo Ishikawa
,
Mitsuaki Kawamura
,
Masato Ohnishi
,
Norio Takenaka
,
Keizo NAKAMURA
,
Daiju Matsumura
,
Satoshi Fujikawa
,
Hiroki Sakamoto
,
Yukinori Ochiai
,
Tetsuo Okane
,
Shinichiro Kuroki
,
Atsuo Yamada
,
Toyotaro Suzumura
,
Junichiro Shiomi
,
Kenjiro Taura
,
Yoshio Mita
,
N. Shibata
,
Yuichi Ikuhara
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.06734
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2409.06734
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.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2409.06734
- https://arxiv.org/pdf/2409.06734
- OA Status
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4403620444Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2409.06734Digital Object Identifier
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ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials ScienceWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-09-08Full publication date if available
- Authors
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M. Hanai, Ryo Ishikawa, Mitsuaki Kawamura, Masato Ohnishi, Norio Takenaka, Keizo NAKAMURA, Daiju Matsumura, Satoshi Fujikawa, Hiroki Sakamoto, Yukinori Ochiai, Tetsuo Okane, Shinichiro Kuroki, Atsuo Yamada, Toyotaro Suzumura, Junichiro Shiomi, Kenjiro Taura, Yoshio Mita, N. Shibata, Yuichi IkuharaList of authors in order
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https://arxiv.org/abs/2409.06734Publisher landing page
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https://arxiv.org/pdf/2409.06734Direct link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2409.06734Direct OA link when available
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Data science, Computer scienceTop concepts (fields/topics) attached by OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.organizations | 110 |
| abstract_inverted_index.single-domain | 39 |
| abstract_inverted_index.smaller-scale | 36 |
| abstract_inverted_index.supercomputers | 15 |
| abstract_inverted_index.cross-institutional | 37 |
| abstract_inverted_index.interdisciplinarity, | 52 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 19 |
| citation_normalized_percentile.value | 0.16920087 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |