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重要开放农业科学数据资源建设现状综述
引用本文:柴苗岭,黄琳,任运月.重要开放农业科学数据资源建设现状综述[J].农业图书情报学刊,2020,32(10):25-34.
作者姓名:柴苗岭  黄琳  任运月
作者单位:中国科学院成都文献情报中心,成都610041;中国科学院大学经济与管理学院图书情报与档案管理系,北京100049;四川大学公共管理学院图书馆学系,成都610065
基金项目:四川省科技计划国际合作项目“面向知识服务的农业科学数据和科技文献关联融汇服务系统研究与示范”(2017HH0094)
摘    要:目的/意义]系统梳理了重要开放农业科学数据资源现状与特征,为“数字政府”管理使用科学数据提供借鉴与参考。方法/过程]确定农业科学数据的概念和内涵,从资源类型及数据格式、学科范围、知识组织方法和服务模式4个维度进行调研和分析。具体从政府、农业科研机构与大学、农业图书情报机构网络调研入手,选择重要的农业科学数据资源网站/平台进行检索,筛选165篇中文文献,167篇英文文献作为补充参考来源。结果/结论]建议基于农业科技宏观和中观管理需求,综合发挥科研机构和大学、图书情报机构、政府和企业的资源优势和学科优势,采集和集成多类型、多学科的异构异源的科学数据资源,加强数据内部的关联和融合,为数字政府转型提供支持。

关 键 词:农业  科学数据  综述  开放数据  知识组织  服务模式
收稿时间:2020-09-08

A Review of Construction of Major Agricultural Open Scientific Data Resources
CHAI Miaoling,HUANG Lin,REN Yunyue.A Review of Construction of Major Agricultural Open Scientific Data Resources[J].Journal of Library and Information Sciences in Agriculture,2020,32(10):25-34.
Authors:CHAI Miaoling  HUANG Lin  REN Yunyue
Institution:1. Chengdu Library and Information Center, Chinese Academy of Sciences, Chengdu 610041;
2. Sichuan University, School of Public Administration, Department of Library Science, Chengdu 610065;
3. University of Chinese Academy of Sciences, School of Economics and Management, Department of Library Information and Archives Management, Beijing 100049
Abstract:Purpose/Significance] This paper systematically reviews the current situation and characteristics of major agricultural open scientific data resources, so as to provide references for a "digital government" to manage and use scientific data. Method/Process] The concept and connotation of agricultural scientific data were determined, and the investigation and analysis were carried out from four dimensions: resource type and data format, the scope of a subject field, the method of knowledge organization and the service mode. Based on a survey of government agents, agricultural research institutions, universities and agricultural library and information institutions, this paper investigated important agricultural science data websites and platforms constructed by those organizations, and selected 165 Chinese papers and 167 English papers as supplementary references. Results/Conclusions] Based on the needs of macro and meso management of agricultural science and technology, it is suggested to give full play to the role of scientific research institutions, universities, libraries and information institutions, governments and enterprises in terms of their advantages in resources and specific subject fields, collect and integrate multi-type and multi-discipline heterogeneous scientific data resources, strengthen the internal association and integration of data, and provide support for the transformation of a digital government.
Keywords:agricultural  scientific data  review  open data  knowledge organization  service model  
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