大数据背景下农业分学科知识服务模式研究  

Knowledge Service Model of Agricultural Discipline under Large Data Background

作　　者：刘健宏[1] 池敏青[1] 吴越[1] LIU Jian-hong;CHI Min-qing;WU Yue(Institute of Agricultural Economics and Scientific Information,Fujian Academy of Agricultural Sciences,Fuzhou,Fujian 350003,Chin)

机构地区：[1]福建省农业科学院农业经济与科技信息研究所,福建福州350003

出　　处：《台湾农业探索》2018年第3期77-81,共5页Taiwan Agricultural Research

基　　金：福建省科技厅公益院所基本专项(2018R1015-1);福建省农科院科技创新团队项目(STIT2017-3-7)

摘　　要：农业分学科知识服务是为学科科研决策和科研活动提供信息服务的一种情报活动。该文从农业分学科知识的问题分析入手,提出了大数据背景下农业分学科知识服务模式,阐述了农业图书工作者应如何利用分学科知识服务平台这一载体,提供高层次的信息后勤保障。Agricultural discipline knowledge service is the activity to provide information for scientific research decision making and scientific research, By analyzing the problems existed in the knowledge service of agriculture subject, the knowledge service model for agricultural discipline under large data background was put forward, and the way how agricultural librarians use agricultural knowledge service platform to provide high level information logistics support was introduced.

关 键 词：知识服务 农业 大数据 

分 类 号：S126[农业科学—农业基础科学] G252[文化科学—图书馆学]