【摘要】 在全球数字化飞速发展的时代，互联网、物联网和计算机技术使数据的获取、存储和分析变得非常高效便捷。数据科学作为科学发现的第四范式，进一步加快了数据在科学研究中的应用。政府、企业、科研院所甚至个人都积累了大量数据，越来越多的人充分认识到数据对社会经济和科技的推动作用，因此对数据生态系统的需求应运而生，需要从全生命周期的角度来构建从数据的生产到输出、应用的全过程的生态系统。对材料数据生态系统的七要素：材料数据分类、材料数据标准、数据采集、数据存储、材料数据知识产权保护、数据质量管控以及材料数据库的重要性和最新进展进行论述，描述了材料基因工程数据生态系统的建设情况。更多还原

【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.更多还原