新疆畜牧业经济信息服务平台建设与应用

doi:10.19788/j.issn.2096-6369.200110

摘要/Abstract

摘要：

科学数据是人类社会在科技活动中产生的数据、资料以及按照不同需求系统加工的数据产品和相关信息。科学数据在应用领域的综合性和数据本身的可复制性决定了数据资源的可共享特征，也证明要实现科学数据资源价值的最大化，就必须以数据的充分共享和综合运用为基本前提。随着社会的进步、时代的变迁和科技的发展，在畜牧业学科领域的研究成果也汇集了丰富的、系统的科学数据，精准的数据是科学研究的结晶与成就，也是新一轮科学研究的重要理论依据和基础。掌握大量权威的科学数据与经济数据就意味着掌控了科学发展与技术创新的资本，同时，作为科学数据的资源已不再局限于单一学科领域，而是显示了跨学科、跨领域交叉运用的综合性特征。新疆畜牧科技文献与经济数据资源共享平台的建设可为新疆实现畜产品安全、生态安全、资源安全与社会稳定提供重要的数据保障，同时也为畜牧业科技进步和科技创新提供科学的数据支撑，对促进新疆畜牧科技及交叉领域资源的高效配置与综合集成、提高新疆畜牧业自主创新能力、建设创新型畜牧业发展强区具有重要意义。本文对平台建设内容与创新部分进行了介绍，同时就平台下一步发展与努力方向进行说明。

关键词: 新疆, 畜牧业, 大数据, 经济数据, 资源数据, 共享平台, 农业大数据

Abstract:

Scientific data encompass data and materials that are generated through scientific and technological activities performed within a society as well as data products and related information that are systematically processed according to varying needs. The replicability and comprehensive application of scientific data determine the shareable characteristics of data resources. Moreover, it is apparent that complete sharing and the comprehensive application of data are prerequisites for maximizing the value of scientific data resources. Advancements within society, brought about by the development of science and technology over time, have led to the systematic collection of rich scientific data relating to animal husbandry. Accurate data generation reflects the crystallization of successful scientific research, while also constituting an important theoretical foundation for emerging scientific research. Mastering a large number of authoritative scientific data and economic data means mastering the capital of scientific development and technological innovations. At the same time, the sources of scientific data are no longer limited to a single discipline; rather, they clearly exhibit the characteristics of interdisciplinarity and of cross applications across disciplines. The construction of a platform for sharing economic, scientific, and technological data and literature on animal husbandry in Xinjiang can provide a source of reliable data for ensuring the safety of animal products, ecologies, and resources and can promote social stability in Xinjiang. Moreover, such a platform can provide data to support scientific and technological innovations to advance the field of animal husbandry. Consequently, animal husbandry in Xinjiang can be improved through the efficient allocation and comprehensive integration of science and technology and of resources across disciplines. Efforts aimed at significantly advancing independent innovations within animal husbandry are critical. This paper proposes content and innovations for developing such a platform, and explains the development and direction of the platform.

Key words: Xinjiang, animal husbandry, big data, economic data, resources data, sharing platform, agricultural big data

中图分类号:

G203

温希军, 李捷, 王琼. 新疆畜牧业经济信息服务平台建设与应用[J]. 农业大数据学报, 2020, 2(1): 79-83.

Xi Jun Li Jie Wang Qiong Wen. Construction and Application of an Economic Data Service Platform for Animal Husbandry in Xinjiang, China[J]. Journal of Agricultural Big Data, 2020, 2(1): 79-83.

图/表 2

参考文献 15

1	郑雪.探究农业经济管理中农业大数据的作用[J].农业技术与装备,2019: 64-65.
	Zheng X.Exploring the Role of Agricultural Big Data in Agricultural Economic Management[J].Agricultural Technology & Equipment, 2019（11）64-65
2	曾晓娟, 邵颖, 罗建军, 等.农业大数据平台科学数据建设探讨[J]. 湖南农业科学, 2019(9): 85-87.
	Zeng X J,SHAO Y,LUO J J, et al.Discussion on Scientific Data Construction of Agricultural Big Data Platform[J]. Hunan Agricultural Sciences,2019（9）：85-8.
3	梁文立.中山市农业大数据建设与应用[J].热带农业工程,2017(41): 53-55.
	Liang L W.Construction and Application of Big Agricultural Data in Zhongshan[J].Tropical Agricultural Engineering,2017(41): 53-55.
4	侯阳青, 杨柳青.数字农业信息获取平台的设计与应用[J].山东农业大学学报(自然科学版)[J], 2020: 1-5.
	Hou Y Q, Yang Li Q. Design for the Digital Agricultural Information Acquisition Platform and Its Application[J].Journal ofShandongAgricultural University ( Natural Science Edition ), 2020: 1-5.
5	姜侯, 杨雅萍, 孙九林.农业大数据研究与应用[J].农业大数据学报,2019(01): 5-15.
	Jiang H,Yang Y P,Sun J L.Research and Application of Big Data in Agriculture[J]. Journal of Agricultural Big Data, 2019（01）:5-15
6	纪平, 肖云丹, 侯瑞霞.林业科学数据管理的探索与实践[J].农业大数据学报, 2019 1: 46-56.
	Ji P,Xiao Y D,Hou R X.The Exploration and Practices on Data Management in Forestry Science e[J].Journal of Agricultural Big Data, 2019 1: 46-56.
7	鲁峰, 王立华, 徐硕.渔业科学数据中心建设研究[J].农业大数据学报, 2019 1: 57-70.
	Lu F，Wang L H，Xu S.Research on Construction of Fisheries Science Data Center[J]. Journal of Agricultural Big Data，2019 1: 57-70.
8	周力青.基于Hadoop云计算技术的农业信息服务平台构建[J].大众科技,2019 21: 4-6.
	Zhou L Q.Construction of Agricultural Information Service Platform Based on Hadoop Cloud Computing Technology[J]. Popular Science & Technology, 2019 21: 4-6.
9	王琼, 李捷, 温希军, 等.新疆畜牧业经济信息服务平台的设计与实现[J]. 农业网络信息, 2016: 44-46.
	Wang Q,Li J,Wen X J,et al.Design and Implementation of Livestock Economy Information Service Platform in Xinjiang[J].Agriculture Network Information,2016, (11)：44-46.
10	刘润达, 彭洁.我国科学数据共享政策法规建设现状与展望[J].科技管理研究，2010 (13)：40-43.
	Liu R D, Peng J. The status and outlook of Scientific data sharing policies and regulations[J]. Science And Technology Management Research, 2010 (13):40-43.
11	尚明华, 秦磊磊, 王风云, 等.山东省农业信息服务平台构建思路与前景展望[J].农业网络信息, 2006: 48-51.
	Shang M H,Qin L L, Wang F Y,et al. Construction and outlook of the service plat form of agr icultural information[J]. Agriculture Network Information,2006: 48-51.
12	莫小香, 韦健, 钟翠, 等.广西农业科技信息管理服务平台的开发和应用[J].河北农业科学,2019 23: 97-100.
	Mo X X，Wei J，Zhong C，et al. Development and Application of Agricultural Science and Technology Information Management and Service Platform in Guangxi[J]. Journal of Hebei Agricultural Sciences, 2019 23: 97-100.
13	赵瑞雪, 赵华, 朱亮.国内外农业科学大数据建设与共享进展[J]. 农业大数据学报, 2019(01): 24-37.
	Zhao R X, Zhao H,Zhu L.Progress in the Development and Sharing of Big Data in Agricultural Science between China and Foreig Countries [J].Journal of Agricultural Big Data, 2019（01）24-37
14	江洪.关于构建农业大数据平台的探析[J].农家参谋, 2019(20): 34-35.
	Jiang H.The discussion and analysis on Agricultural Big data platform construction [J].The Farmers Consultant, 2019(20): 34-35.
15	杜颖.试析三农信息服务平台中云计算的应用[J].科技创新与应用,2019: 163-164.
	Du Y. An Analysis of the Application of Cloud Computing in the Information Service Platform for Agriculture, Rural Areas and Farmers[J]. Technology Innovation and Application, 2019: 163-164.

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