TY - JOUR
T1 - 材料 基 因 工程 数 据 生 态系 统
AU - Yin, Haiqing
AU - Wang, Yongwei
AU - Zhang, Xiaotong
AU - Jiang, Xue
AU - Huang, Haiyou
AU - Zhang, Lei
AU - Iwata, Shuichi
AU - Song, Xiaoyan
AU - Zhang, Hongmei
AU - Yao, Leijiang
AU - Cui, Lina
AU - Zhou, Yong
AU - Chen, Ning
AU - Qu, Xuanhui
N1 - Publisher Copyright:
© 2023 Materials China. All rights reserved.
PY - 2023/2
Y1 - 2023/2
N2 - 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.
AB - 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.
KW - data classification
KW - data ecosystem
KW - data intellectual property
KW - data standards
KW - life cycle
KW - materials genome engineering
UR - http://www.scopus.com/inward/record.url?scp=85191579168&partnerID=8YFLogxK
U2 - 10.7502/j.issn.1674-3962.202112001
DO - 10.7502/j.issn.1674-3962.202112001
M3 - 文章
AN - SCOPUS:85191579168
SN - 1674-3962
VL - 42
SP - 135
EP - 143
JO - Materials China
JF - Materials China
IS - 2
ER -