ARIM-mdx Data System

Materials Science Data Platform Integrated with Experimental Facilities and Supercomputers in Japan

Easy to store, share, publish, and manage your big experimental data and simulation data
High-speed data analysis of stored data remotely through your browser
Secure and direct data transfer from experimental equipment using IoT devices
High-speed data communication among supercomputers via the ultra-high-speed academic network, SINET 6

NEWS

[2024/10/29] ARIM-mdx Data System's paper is accepted in IEEE BigData 2024

Our paper is accepted in IEEE BigData 2024 at Washington DC, USA. The paper is available here.

[2024/10/21] Website Launch

This website has been launched.

[2024/10/16] Exceeded 900 Users

The number of ARIM-mdx data system users has exceeded 900.

[2024/9/8] ARIM-mdx Data System Preprint Published

The overview paper of this system has been published as a preprint. The paper is available here.

GUIDE

Large-volume Nextcloud Storage

Your data can be managed through browser or app using Nextcloud.
You can transfer your large-scale data from command-line interface (CUI) such as supercomputers.

High-performance Jupyter Data Analysis Platform

You can use high-performance Jupyter environment via just one click from your browser to analyze your stored materials research data.
You can use development tools such as JupyterLab, VSCode, and the materials science all-in-one package MateriApps LIVE! via Remote Desktop.

RXT Data Transfer IoT Device

Using the RXT data transfer IoT device, you can transfer data directly from standalone experimental equipment not connected to the Internet.

Full Documentation

Please refer to our documentation for further detailed usage.

Citation and Acknowledgment

We kindly request that you acknowledge us in research that uses the ARIM-mdx data system. You may include the usage of the ARIM-mdx data system in Acknowledgment, Method, Evaluation etc. in your article.

How to cite

In this research work, we used ARIM-mdx data system~\cite{hanai2024arim}.

Bibtex

@article{hanai2024arim,
    title = {ARIM-mdx Data System: Towards a Nationwide Data Platform for Materials Science},
    author = {Hanai, Masatoshi and Ishikawa, Ryo and Kawamura, Mitsuaki and Ohnishi, Masato and
        Takenaka, Norio and Nakamura, Kou and Matsumura, Daiju and Fujikawa, Seiji and
        Sakamoto, Hiroki and Ochiai, Yukinori and Okane, Tetsuo and Kuroki, Shin-Ichiro and 
        Yamada, Atsuo and Suzumura, Toyotaro and Shiomi, Junichiro and Tarua, Kenjiro and 
        Mita, Yoshio and Shibata, Naoya and Ikuhara, Yuichi},
    journal = {arXiv preprint arXiv:2409.06734},
    year = {2024}
}

Experimental Facilities

The ARIM-mdx data system is connected to various shared-use experimental facilities and automatic experimantal facilities across Japan.
Each facility's experimental equipment is connected to the ARIM-mdx through RXT data transfer IoT devices.

Shared-use Experimental Facilities

The University of Tokyo ARIM for Microstructure Analysis	The University of Tokyo ARIM for Nanofabrication / Takeda Super Clean Room
Hiroshima University ARIM Research Institute for Semiconductor Innovation (RISE)	Japan Atomic Energy Agency ARIM / SPring-8

Automatic Experimental Facilities

Digital Laboratory Consortium

Supercomputers

The ARIM-mdx data system achieves ultra-high-speed data communication between domestic supercomputers through SINET 6 by bypassing public internet.

HPCI/JHPCN Supercomputers

RIKEN Fugaku Supercomputer	Science Tokyo TSUBAME 4.0
Tohoku University AOBA	The University of Tokyo Wisteria / BDEC-01
Nagoya University Furo	Kyushu University Genkai
Osaka University SQUID	Hokkaido University Grand Chariot / Polaire
Kyoto University Camphor / Laurel / Cinnamon / Gardenia

DevOps Team

Research・Development・Operation

Masatoshi HANAI (Principal Investigator): Project Assistant Professor, Information Technology Center, the University of Tokyo

Ryo ISHIKAWA: Project Associate Professor, School of Engineering, the University of Tokyo

Mitsuaki KAWAMURA: Senior Research Scientist, Center for Emergent Matter Science, RIKEN

Toyotaro SUZUMURA: Professor, School of Information Science and Technology / Information Technology Center, the University of Tokyo

Kenjiro TAURA: Professor, School of Information Science and Technology / Information Technology Center, the University of Tokyo

Contributors

Yuichi IKUHARA (UTokyo), Keiko ISAGAI (UTokyo), Kazue INOUE (UTokyo), Etsuko OTA (UTokyo), Masato ONISHI (ISM), Tetsuo OKANE (JAEA), Kohei OKITSU (UTokyo), Hiroyuki OSHIKAWA (UTokyo), Yukinori OCHIAI (UTokyo), Ayumi KIMURA (UTokyo), Shin-Ichiro KUROKI (HiroshimaU), Kuniaki KONISHI (UTokyo), Takayuki KONDO (UTokyo), Hiroki SAKAMOTO (HiroshimaU), Haruyuki SAKURAI (UTokyo), Chizuko SATO (UTokyo), Tomonori SAWAMURA (UTokyo), Junichiro SHIOMI (UTokyo), Naoya SHIBATA (UTokyo), Miyuki TAKEUCHI (UTokyo), Norio TAKENAKA (UTokyo), Ryosuke TERANISHI (UTokyo), Atsushi TOYOKURA (UTokyo), Kou NAKAMURA (UTokyo), Kazunori NISHIO (UToyo), Yoshiharu NISHIMURA (UTokyo), Taro HITOSUGI (UTokyo), Kazuhiro FUKAWA (UTokyo), Masahiro FUKUKAWA (UTokyo), Seiji FUJIKAWA (JAEA), Makoto FUJIWARA (UTokyo), Megumi FURUKAWA (UTokyo), Hiroaki MATSUI (UTokyo), Daiju MATSUMURA (JAEA), Ayako MIZUSHIMA (UTokyo), Yoshio MITA (UTokyo), Mari MORITA (UTokyo), Kazuhiko MORIYAMA (UTokyo), Shun YASUNAGA (UTokyo), Atsuo YAMADA (UTokyo), Shinji YAMADA (HiroshimaU), Hiroyasu YAMAHARA (UTokyo), Le Duc Anh (UTokyo),

Supports

MEXT Advanced Research Infrastructure for Materials and Nanotechnology in Japan (ARIM)

mdx: Cloud Platform for Supporting Data Science adn Cross-Disciplinary Research Collaboration

The Joint Usage/Research Center for Interdisciplinary Large-scale Information Infrastructures (JHPCN)

MEXT Digital Transformation Initiative for Green Energy Materials (DX-GEM/DxMT)

MEXT Developing a Research Data Ecosystem for the Promotion of Data-Driven Science

FAQ

Are there any usage fees?

The ARIM-mdx data system is free to use. We widely accept usage for materials research purposes.
As the system is supported by the research projects mentioned above, we kindly request that you acknowledge it in any papers or published results.

What is the maximum storage capacity available?

Each project can utilize up to 30TB of storage. For larger storage requirements, please contact us through the inquiry form below.

Where is the ARIM-mdx data system located?

The ARIM-mdx data system is built on mdx-I and is physically located at the University of Tokyo's Kashiwa-II Campus. It is strictly managed by the Information Technology Center of the University of Tokyo.

How long will data be stored on the ARIM-mdx data system?

Data will be stored until the end of fiscal year 2030 (March 31, 2031), when the ARIM Japan project concludes.
Beyond that date, continuation will be determined based on overall system usage and the achievements made through user utilization.

Can industrial users access the system?

Yes, industrial users are welcome to use the system. Currently, around 25% of our users are from companies, and the system is utilized across various industrial sectors beyond academia.

Can we implement this system in our facility's shared services even if we're not part of the ARIM project?

Yes, the implementation is possible. Please contact us through the inquiry form below to discuss further details.

Inquiries and Requests

We welcome various inquiries, such as large-scale group/organizational use, facility implementation of direct transfer IoT devices, system feature requests, and more.
Please contact us through the form (University of Tokyo ARIM) below.

The use of ARIM-mdx data system follows the guidelines of mdx: Cloud Platform for Supporting Data Science adn Cross-Disciplinary Research Collaboration.
Users in this system are considered "Tenant Service Users" under these terms.