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Author(s):: YIN Haiqing1; 2; WANG Yongwei2; ZHANG Xiaotong1; JIANG Xue1; HUANG Haiyou1; ZHANG Lei1; IWATA Shuichi3; et al; (1. Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology Beijing, Beijing, 100083, China) (2. Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, 100083, China) (3. School of Science, The University of Tokyo, Tokyo, 113-8654, Japan) ,et al.

Keywords:: data classification; data standards; data intellectual property; data ecosystem; materials genome engineering; life cycle

Abstract:: In the era of rapid global digitalization, the internet, the Internet of Things (IoT) and computer technologies have made it highly efficient for data acquisition, storage and analysis. Data science, as the fourth paradigm of scientific discovery, has further accelerated the application of data in scientific researches. Governments, enterprises, research institutes and even individuals have accumulated a large amount of data. The role of data played in promoting the development of society, economy and technology is fully understood, therefore, there rises the demand for the data ecosystem, covering the whole production line from data production to data application. In this case, the necessity and progress of the essential features of data ecosystem are elucidated, including data classification, data standards, data collection and storage, intellectual property protection, data quality control and database of material data. The initial goal is to identify the significance of material data ecosystem. And the framework of data ecosystem of materials genome engineering is briefly demonstrated.