Scientific data center system of Chinese Academy of Sciences: practices and prospects

Xin Chen, Xiaohuan Zheng, Boya Pan, Zhihong Shen, Yuanchun Zhou, Dawei Chu
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引用次数: 0

Abstract

Scientific data have become a basic and strategic resource for innovation and development. As an important carrier of scientific data for long-term preservation and sharing, scientific data centers play an increasingly significant role in supporting the development of scientific and technological innovation. Based on more than 40 years of scientific database development and three years of active exploration, by the end of 2021, CAS had built a scientific data center system of "one general center, 18 disciplinary centers and 13 institutional centers". The total amount of data resources is about 100 PB, basically realizing the normal operation and service of the scientific data center system, and serving as a strong support for scientific and technological innovation in the era of big data. In the future, it will further optimize and improve the layout of the scientific data center system, continuously promote the archiving of scientific data resources, create a series of scientific data brands, develop an innovative environment of data intelligence, and support integrative scientific innovation under the new paradigm.
中科院科学数据中心系统的实践与展望
科学数据已成为创新和发展的基础和战略资源。作为长期保存和共享科学数据的重要载体,科学数据中心在支持科技创新发展方面发挥着越来越重要的作用。基于40多年的科学数据库开发和三年的积极探索,截至2021年底,CAS已建成“一个综合中心、18个学科中心、13个机构中心”的科学数据中心体系。数据资源总量约100 PB,基本实现了科学数据中心系统的正常运行和服务,为大数据时代的科技创新提供了有力支撑。未来,它将进一步优化和完善科学数据中心系统的布局,不断推进科学数据资源的归档,打造一系列科学数据品牌,开发数据智能的创新环境,支持新范式下的综合科学创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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