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

Abstract 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 co...

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Main Authors: Shilong Liu, Yanjing Su, Haiqing Yin, Dawei Zhang, Jie He, Haiyou Huang, Xue Jiang, Xuan Wang, Haiyan Gong, Zhuang Li, Hao Xiu, Jiawang Wan, Xiaotong Zhang
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-021-00557-x
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spelling doaj-fbe8a28e521d42e197563ee3d55874d92021-06-13T11:25:10ZengNature Publishing Groupnpj Computational Materials2057-39602021-06-01711810.1038/s41524-021-00557-xAn infrastructure with user-centered presentation data model for integrated management of materials data and servicesShilong Liu0Yanjing Su1Haiqing Yin2Dawei Zhang3Jie He4Haiyou Huang5Xue Jiang6Xuan Wang7Haiyan Gong8Zhuang Li9Hao Xiu10Jiawang Wan11Xiaotong Zhang12Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingNational Materials Corrosion and Protection Data Center, Institute for Advanced Materials and Technology, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingCorrosion and Protection Center, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingBeijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology BeijingAbstract 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.https://doi.org/10.1038/s41524-021-00557-x
collection DOAJ
language English
format Article
sources DOAJ
author Shilong Liu
Yanjing Su
Haiqing Yin
Dawei Zhang
Jie He
Haiyou Huang
Xue Jiang
Xuan Wang
Haiyan Gong
Zhuang Li
Hao Xiu
Jiawang Wan
Xiaotong Zhang
spellingShingle Shilong Liu
Yanjing Su
Haiqing Yin
Dawei Zhang
Jie He
Haiyou Huang
Xue Jiang
Xuan Wang
Haiyan Gong
Zhuang Li
Hao Xiu
Jiawang Wan
Xiaotong Zhang
An infrastructure with user-centered presentation data model for integrated management of materials data and services
npj Computational Materials
author_facet Shilong Liu
Yanjing Su
Haiqing Yin
Dawei Zhang
Jie He
Haiyou Huang
Xue Jiang
Xuan Wang
Haiyan Gong
Zhuang Li
Hao Xiu
Jiawang Wan
Xiaotong Zhang
author_sort Shilong Liu
title An infrastructure with user-centered presentation data model for integrated management of materials data and services
title_short An infrastructure with user-centered presentation data model for integrated management of materials data and services
title_full An infrastructure with user-centered presentation data model for integrated management of materials data and services
title_fullStr An infrastructure with user-centered presentation data model for integrated management of materials data and services
title_full_unstemmed An infrastructure with user-centered presentation data model for integrated management of materials data and services
title_sort infrastructure with user-centered presentation data model for integrated management of materials data and services
publisher Nature Publishing Group
series npj Computational Materials
issn 2057-3960
publishDate 2021-06-01
description Abstract 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.
url https://doi.org/10.1038/s41524-021-00557-x
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