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农业数据资产的分类目录研究

杨颜如 冯丽 赵连静

农业展望2023,Vol.19Issue(11):67-73,7.
农业展望2023,Vol.19Issue(11):67-73,7.

农业数据资产的分类目录研究

Study on the Classification and Catalogue of Agricultural Data Assets

杨颜如 1冯丽 1赵连静1

作者信息

  • 1. 北京农学院经济管理学院 北京 102206
  • 折叠

摘要

Abstract

With the change of economic form and the development of digital economy caused by big data and other information technologies,data assets have become an important factor of production.Agriculture is the foundation of national economy.The construction of agricultural data assets classification catalog is conducive to promoting the standardization construction of agricultural data assets,improving the transaction value of agricultural data assets,and promoting the open sharing of agricultural data.This paper first analyzed agricultural data assets and their functions,then discussed the necessity of their classification,and then took nearly a thousand domestic and foreign companies that provide agricultural data assets as samples to analyze the formation path of agricultural data assets.According to the industrial chain,agricultural data assets were divided into agricultural natural resources and environment data assets,agricultural production data assets,agricultural operation data assets,agricultural management data assets,agricultural life service data assets,and agricultural scientific research data assets,and the classification catalog of agricultural data assets is constructed.Finally,countermeasures and suggestions were put forward in the aspects of system,standard and technology to do a good job in the classification and catalog of agricultural data assets,promote the opening and sharing of agricultural data resources,help the overall revitalization of rural areas,and support the high-quality development of agriculture.

关键词

农业/数据资产/分类目录

Key words

agriculture/data asset/classified catalogue

引用本文复制引用

杨颜如,冯丽,赵连静..农业数据资产的分类目录研究[J].农业展望,2023,19(11):67-73,7.

基金项目

北京农学院学位与研究生教育改革与发展项目(2022YJS050) (2022YJS050)

全国信息技术标准化技术委员会数字乡村标准研究组 2022-2023 年度数字乡村标准研究课题(2022DV16) (2022DV16)

农业展望

1673-3908

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