农业大数据学报 ›› 2019, Vol. 1 ›› Issue (3): 38-45.doi: 10.19788/j.issn.2096-6369.190304

• 专刊——科学数据管理 • 上一篇    下一篇

农业科学观测数据汇聚管理平台设计与实现

周国民1,3(),樊景超2,3()   

  1. 1. 中国农业科学院科技管理局,北京100081
    2. 中国农业科学院农业信息研究所,北京 100081
    3. 国家农业科学数据中心,北京100081
  • 收稿日期:2019-07-15 出版日期:2019-09-26 发布日期:2019-11-28
  • 通讯作者: 樊景超 E-mail:zhouguomin@caas.cn;fanjingchao@caas.cn
  • 作者简介:周国民,男,博士,研究员,研究方向:农业科学数据治理与共享理论与方法;E-mail:zhouguomin@caas.cn

Design and Implementation of Agricultural Science Observation Data Collection Management Platform

Guomin Zhou1,3(),Jingchao Fan2,3()   

  1. 1. Chinese Academy of Agricultural Sciences. Beijing 100081
    2. Agricultural Information Institute of CAAS. Beijing 100081
    3. National Agricultural Science Data Center. Beijing 100081
  • Received:2019-07-15 Online:2019-09-26 Published:2019-11-28
  • Contact: Jingchao Fan E-mail:zhouguomin@caas.cn;fanjingchao@caas.cn

摘要:

建立我国农业的长期监测网络和观测数据汇聚管理平台具有重要的意义。本文结合近年来国家农业科学数据中心的建设实践,系统梳理了我国农业长期监测网络的观测数据汇聚过程,给出了数据汇聚管理所涉及的标准规范,设计并实现了农业科学观测数据汇聚管理平台,该平台由农业观测数据采集与加工系统、农业观测数据挖掘分析与预警系统、农业观测数据汇交系统、农业观测数据长期保存系统、农业观测数据共享服务系统组成,具有农业科学观测数据的长期保存、数据共享服务、数据分析挖掘应用等三个方面的功能,平台的初步应用实践表明,平台结构和功能设计合理,为农业科学研究、农业宏观管理决策提供了坚实的数据支撑,平台对同类研究和应用具有一定的借鉴意义和指导作用。

关键词: 农业科学数据, 科学观测数据, 汇聚管理, 资源平台, 科学数据管理, 数据汇聚, 数据评价, 平台建设

Abstract:

It is important to establish a long-term monitoring network and a platform for collecting and managing observation data for agriculture in China. Combining with the construction practice of the National Agricultural Science Data Center in recent years, this paper systematically combs the observation-data aggregation process of the long-term monitoring network of agriculture in China; gives the standard norms involved in data aggregation management; and designs and implements a platform for the management of the aggregation of agricultural science observation data, which comprises an agricultural observation data acquisition and processing system, agricultural observation data mining analysis and early-warning system,agricultural observation data exchange system, agricultural observation data long-term preservation system, and agricultural observation data sharing service system. These systems have three functions: long-term preservation of agricultural scientific observation data, data sharing, data analysis, and mining application. The preliminary application of the platform shows that the design of the structure and function of the platform is reasonable, which provides solid data support for agricultural scientific research and agricultural macroscale management decision-making. The platform can be used for reference and guidance in similar research and application.

Key words: agriculture scientific data, scientific observation data, convergence management, resource platform, scientific data management, data convergence, data evaluation, infrastructure construction

中图分类号: 

  • G203