Journal of Agricultural Big Data ›› 2024, Vol. 6 ›› Issue (3): 325-332.doi: 10.19788/j.issn.2096-6369.000053

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Practice of Security Management of Omics Big Data in Life Sciences

WANG YanQing1,2(), CHEN TingTing1,2(), ZHANG SiSi1,2(), ZHU JunWei1,2, CHEN HuanXin1,2, XIAO JingFa1,2,3, SONG ShuHui1,2,3, ZHANG Zhang1,2,3, ZHAO WenMing1,2,3,*(), BAO YiMing1,2,3,*()   

  1. 1. National Genomics Data Center, China National Center for Bioinformation, Beijing 100101, China
    2. Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2024-06-13 Accepted:2024-09-13 Online:2024-09-26 Published:2024-10-01
  • Contact: ZHAO WenMing, BAO YiMing

Abstract:

Omics big data is a significant foundational and strategic resource for the country, which plays an important role in supporting the basic research and application innovation of life sciences, promoting the innovative development of bioeconomy, and maintaining national security. With the rapid accumulation of omics data, the security of data management has become increasingly prominent. Facing the major strategic needs of China's population health and sustainable social development, the National Genomics Data Center (NGDC) has established a comprehensive research architecture for collecting, storing, managing, sharing, and mining of big data in omics, forming a series of practices and measures for the security management of the data. This paper delves into the issues of security management of omics big data throughout its lifecycle, elaborating on NGDC's security management measures implemented in the collecting, storing, managing and sharing of the data. Furthermore, it summarizes NGDC’s achievements in the security management of omics big data. Finally, this paper envisions the future directions for the security management of omics big data, including enhancing the data classification and categorization system, enhancing data hierarchical security management technologies and strengthening the construction of off-site disaster recovery, in order to achieve the security management and sustainable development of omics big data in life sciences.

Key words: omics big data, data archive, data sharing, security management