Big Data Research ›› 2022, Vol. 8 ›› Issue (1): 24-36.doi: 10.11959/j.issn.2096-0271.2022003

• SPECIAL ISSUE: SCIENTIFIC DATA GOVERNANCE • Previous Articles     Next Articles

Centralization of agricultural scientific data management model based on life cycle theory

Fei GAO1,2, Guomin ZHOU2,3, Rui MAN2,4   

  1. 1 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    2 National Agriculture Science Data Center, Beijing 100081, China
    3 Farmland Irrigation Research Institute of Chinese Academy of Agricultural Sciences, Xinxiang 453002, China
    4 Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China
  • Online:2022-01-15 Published:2022-01-01
  • Supported by:
    Industry Standard Formulation Project of Ministry of Agriculture and Rural Affairs(NYB-21071)

Abstract:

Governments, research institutions and scientists all over the world have attached great importance to the construction, management and sharing of agricultural science data resources.Relevant international organizations and agricultural science data platforms are particularly active, providing strong support for agricultural science and technological innovation.From the current situation of science data resource construction, science data management centralization is the future development trend.The agriculture science data management centralization mode was explored, the agricultural science data life cycle management model was constructed, and the model was explained from four aspects: science data management standard, data collection and processing, long-term data preservation and data sharing service.This study tries to provide reference for science data management, sharing and service.

Key words: agricultural science data, life cycle, management model, data sharing

CLC Number: 

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