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作 者: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
机构地区:[1]Beijing Advanced Innovation Center for Materials Genome Engineering,University of Science and Technology Beijing,Beijing,China [2]School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing,China [3]Beijing Key Laboratory of Knowledge Engineering for Materials Science,Beijing,China [4]Corrosion and Protection Center,University of Science and Technology Beijing,Beijing,China [5]Collaborative Innovation Center of Steel Technology,University of Science and Technology Beijing,Beijing,China [6]National Materials Corrosion and Protection Data Center,Institute for Advanced Materials and Technology,University of Science and Technology Beijing,Beijing,China [7]Institute for Advanced Materials and Technology,University of Science and Technology Beijing,Beijing,China [8]Beijing Key Laboratory of Materials Genome Engineering,University of Science and Technology Beijing,Beijing,China
出 处:《npj Computational Materials》2021年第1期779-786,共8页计算材料学(英文)
基 金:This research was supported in part by the National Key Research and Development Program of China under Grant Nos.2016YFB0700500 and 2018YFB0704300;the Fundamental Research Funds for the University of Science and Technology Beijing under Grant FRF-BD-19-012A;the National Natural Science Foundation of China under Grant No.61971031.We would like to thank the users of MGED for their support and feedback in improving the platform.
摘 要: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.
关 键 词:SERVICES SERVICE centered
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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