4.8 Article

An infrastructure with user-centered presentation data model for integrated management of materials data and services

Journal

NPJ COMPUTATIONAL MATERIALS
Volume 7, Issue 1, Pages -

Publisher

NATURE RESEARCH
DOI: 10.1038/s41524-021-00557-x

Keywords

-

Funding

  1. Ministry of Science and Technology
  2. Ministry of Industry and Information Technology
  3. University of Science and Technology Beijing (USTB)
  4. Shanghai University (SHU)
  5. Tsinghua University (THU)
  6. Sichuan University (SCU)
  7. Southwest Jiaotong University (SWJTU)
  8. Beijing University of Technology (BJUT)
  9. Beijing Institute of Technology (BIT)
  10. Central South University (CSU)
  11. Northwestern Polytechnical University (NPU)
  12. Shanghai Jiao Tong University (SJTU)
  13. Computer Network Information Center (CNIC) of the Chinese Academy of Sciences (CAS)
  14. Ningbo Institute of Materials Technology and Engineering (NIMTE) of CAS
  15. Academy of Mathematics and Systems Science (AMSS) of CAS
  16. Central Iron and Steel Research Institute (CISRI)
  17. Institute of Metal Research (IMR) of CAS
  18. Institute of Chemistry of CAS (ICCAS)
  19. Ningbo Institute of Information Technology Application of CAS
  20. Institute of High Energy Physics (IHEP) of CAS
  21. Beijing Computing Center
  22. National Supercomputer Center in Tianjin
  23. Beijing Institute of Aeronautical Materials (BIAM) of the Aero Engine Corporation of China (AECC)
  24. Tianjin Nanda General Data Technology Co., Ltd.
  25. National Key Research and Development Program of China [2016YFB0700500, 2018YFB0704300]
  26. Fundamental Research Funds for the University of Science and Technology Beijing [FRF-BD-19-012A]
  27. National Natural Science Foundation of China [61971031]
  28. MGED

Ask authors/readers for more resources

With the announcement of the Materials Genome Initiative, scientific research in materials science has become more data intensive and collaborative. The need for modern data infrastructures, such as the Materials Genome Engineering Databases (MGED), is compelling in the materials community. MGED provides cloud-hosted services with features to simplify the process of collecting datasets, unify data representation forms, and accelerate data discovery with advanced search capabilities.
With scientific research in materials science becoming more data intensive and collaborative after the announcement of the Materials Genome Initiative, the need for modern data infrastructures that facilitate the sharing of materials data and analysis tools is compelling in the materials community. In this paper, we describe the challenges of developing such infrastructure and introduce an emerging architecture with high usability. We call this architecture the Materials Genome Engineering Databases (MGED). MGED provides cloud-hosted services with features to simplify the process of collecting datasets from diverse data providers, unify data representation forms with user-centered presentation data model, and accelerate data discovery with advanced search capabilities. MGED also provides a standard service management framework to enable finding and sharing of tools for analyzing and processing data. We describe MGED's design, current status, and how MGED supports integrated management of shared data and services.

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