中文    English

Journal of Library and Information Science in Agriculture ›› 2020, Vol. 32 ›› Issue (10): 25-34.doi: 10.13998/j.cnki.issn1002-1248.2020.10.20-0811

;

• Agricultural scientific data • Previous Articles     Next Articles

A Review of Construction of Major Agricultural Open Scientific Data Resources

CHAI Miaoling1,3, HUANG Lin2, REN Yunyue2   

  1. 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
  • Received:2020-09-08 Online:2020-10-05 Published:2020-11-20

PDF (PC)

221

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.

Key words: agricultural, scientific data, review, open data, knowledge organization, service model

CLC Number: 

  • G250
[1] 张莉. 中国农业科学数据共享发展研究[D]. 北京: 中国农业科学院, 2006.
[2] 梁木生. 略论"数字政府"运行的技术规制[J]. 中国行政管理, 2001(6): 20-21.
[3] 科学数据共享工程[EB/OL]. [2020-09-08]. http://www.most.gov.cn/ztzl/kjzg60/kjzg60hhcj/kjzg60jcyj/200909/t20090911_72832.htm.
[4] 田野. 区块链环境下的异构政府数据语义共享机制研究[J]. 农业图书情报学报, 2020, 32(1): 12-22.
[5] 贺玲玉. 基于关联数据的农业信息资源整合研究[D]. 武汉: 华中师范大学, 2014.
[6] 王剑, 黄朝光. 海量农业科学数据存储体系架构与方法研究[J]. 广东农业科学, 2015, 42(2): 152-156.
[7] 陆丽娜, 王萍, 于啸. 农业科学数据监管平台构建研究[J]. 图书情报工作, 2017, 61(10): 68-73.
[8] 赵瑞雪. 农业科学数据共享中数据汇交与管理研究[J]. 科技管理研究, 2009, 29(8): 284-286.
[9] 赵华, 王健. 科学数据出版现状及对中国农业科学数据出版的启示[J]. 农业展望, 2016, 12(8): 53-57.
[10] 彭秀媛, 王枫, 周国民. 面向重用的农业科学数据共享模式研究[J]. 农业经济, 2019(1): 87-89.
[11] 张莉. 论农业科学数据的共享管理[J]. 农业图书情报学刊, 2006(12): 36-39.
[12] 高峰, 王剑. 基于合作博弈的农业科学数据平台共享管理机制研究[J]. 技术与创新管理, 2013, 34(5): 457-460.
[13] 张小红, 李思经. 农业科学数据共享服务研究[J]. 中国科技论坛, 2006(5): 127-130.
[14] 张莉. 农业科学数据共享体系建设分析——以国家农业科学数据中心建设为例[J]. 情报探索, 2007(10): 66-68.
[15] 卓文飞. 论我国农业科技信息集成服务系统的构建[J]. 中国科技论坛, 2010(3): 134-138.
[16] 王华丽, 张磊磊, 王新哲, 等. 新疆农业科学数据共享用户需求调查分析[J]. 新疆农业科技, 2014(5): 1-3.
[17] 赵华, 王剑. 科学数据共享政策及其对中国农业科学数据共享的启示[J]. 农业展望, 2015, 11(11): 70-74.
[18] 彭秀媛, 王枫, 周国民. 农业科学数据共享技术系统研究[J]. 园艺与种苗, 2019, 39(2): 53-57.
[19] 王华丽, 张磊磊, 王新哲. 基于协同理论的新疆农业科学数据共享研究[J]. 农业现代化研究, 2015, 36(4): 708-715.
[20] 刘莹, 王华丽. 新疆农业科学数据共享保障机制构建[J]. 黑龙江农业科学, 2016(6): 118-122.
[21] 彭秀媛, 王枫, 周国民. 辽宁省农业科学数据共享情况调查与分析[J]. 农业经济, 2017(1): 59-61.
[22] 科学数据共享调研组. 科学数据共享工程的总体框架[J]. 中国基础科学, 2003(1): 65-70.
[23] 杨从科. 中国农业科学数据资源建设研究[D]. 北京: 中国农业科学院, 2007.
[24] 赵瑞雪, 李娇, 张洁, 等. 多场景农业专业知识服务系统构建研究[J]. 农业图书情报学报, 2020, 32(1): 4-11.
[25] 马海龙, 陈佑启, 邹金秋. “国家农业科学数据共享中心农业区划数据分中心”系统设计与建设[J]. 中国农业资源与区划, 2010, 31(1): 75-80.
[26] 曾小红, 王强. 热带农业科学数据标准化建设及对策研究[J]. 热带农业科学, 2011, 31(3): 54-57, 65.
[27] 刘海清, 卢琨, 刘晓珂, 等. 农业科学大数据资源平台在热区的实践思考[J]. 农业大数据学报, 2019, 1(4): 58-64.
[28] 柏永青, 杨雅萍, 孙九林. 国内外科学数据管理办法研究进展[J]. 农业大数据学报, 2019, 1(3): 5-20, 4.
[29] 张莉. 中国农业科学数据共享发展研究[D]. 北京: 中国农业科学院, 2006.
[30] 陈娉婷, 官波, 沈祥成, 等. 大数据时代开放式农业信息知识库构建研究[J]. 东北农业科学, 2018, 43(5): 60-64.
[31] SGOUROPOULOU C, KOUTOUMANOS A.Building metadata architectures: A case for e-research[J]. International journal of metadata semantics & ontologies, 2014, 9(4): 275-288.
[32] ZHANG M, LI Z, LI F.Discussion on key technologies in forestry fundamental scientific information cloud service platform[C]//Green computing & communications. IEEE, 2013.
[33] WISNUBHADRA I, ADITHAMA S P, BAHARIN S S K, et al. Agriculture spatiotemporal business intelligence using open data integration[C]//2019 international seminar on research of information technology and intelligent systems (ISRITI), 2019.
[34] AYDIN S, AYDIN M N.Semantic and syntactic interoperability for agricultural Open-Data platforms in the context of IoT using Crop-Specific trait ontologies[J]. Applied ences, 2020, 10(13): 1-27.
[35] ENAYAT, RAJABI, SALVADOR, et al. A linked and open dataset from a network of learning repositories on organic agriculture[J]. British journal of educational technology, 2015.
[36] MARTIN C, CADIOU C, EMMANUELLE J-O.Data management: New tools, new organization, and new skills in a French research institute[J]. 2017.
[38] COUTU S, BECKER-RESHEF I, WHITCRAFT A K, et al.Food security: Underpin with public and private data sharing[J]. Nature, 2020, 578(7796): 515-515.
[39] FERRAG M A, SHU L, YANG X, et al.Security and privacy for green IoT-Based agriculture: Review, blockchain solutions, and challenges[J]. IEEE access, 2020: 99.
[40] 農研機構|国立研究開発法人農業·食品畟業技術総合研究機構[EB/OL]. [2020-07-24]. http://www.naro.affrc.go.jp/.
[41] 科学技术[EB/OL]. [2020-08-04]. http://www.stats.gov.cn/tjsj/zbjs/201912/t20191202_1713041.html.
[42] 杨立新. 衍生数据是数据专有权的客体[N]. 中国社会科学报, 2016-07-13(005).
[43] 中国科学院图书馆图书分类法第三版[D]中国科学院图书馆图书分类法第三版[D]. 北京: 科学出版社, 1994.
[44] Ag data commons|providing central access to USDA’s open research data[EB/OL]. [2020-07-24].https://data.nal.usda.gov/.
[45] Agriculture, forestry and fisheries-data govt. Nz-discover and use data[EB/OL].[2020-07-29]. https://catalogue.data.govt.nz/group/3a53bc45-ab5a-478d-b613-c6b31ba0857c?organization=ministry-for-primary-industries.
[46] About-data gov. UK[EB/OL].[2020-07-29]. https://data.gov.uk/about.
[1] LI Yikai, YE Sa, KOU Yuantao. User Interaction Mode of Agricultural Knowledge Service System [J]. Journal of Library and Information Science in Agriculture, 2022, 34(9): 86-94.
[2] CHEN Shuxian, LIU Guifeng, LIU Qiong. Research Progress and Implementation of FAIR Principles for Scientific Data Management [J]. Journal of Library and Information Science in Agriculture, 2022, 34(8): 30-41.
[3] SHI Yunlai, CUI Yunpeng, DU Zhigang. A Classification Method of Agricultural News Text Based on BERT and Deep Active Learning [J]. Journal of Library and Information Science in Agriculture, 2022, 34(8): 19-29.
[4] HOU Xiangying, CUI Yunpeng, LIU Juan. Applications and Prospect Analysis of Deep Learning in Plant Genomics and Crop Breeding [J]. Journal of Library and Information Science in Agriculture, 2022, 34(8): 4-18.
[5] MENG Jing, TANG Yan. Analysis and Research Progress of Global Patent Technology of Wheat Genetics and Breeding [J]. Journal of Library and Information Science in Agriculture, 2022, 34(6): 93-103.
[6] TAN Yawen. An Analysis on the Gamification Development Path of Library Open Data [J]. Journal of Library and Information Science in Agriculture, 2022, 34(6): 83-92.
[7] SUN Shaodan, DENG Jun, ZHANG Zishu, ZHONG Chuyi, SHENG Panpan. Topic Knowledge Organization of Modern Newspaper Resources by Incorporating the Knowledge Element Concept: Taking the "Shengjing Times" as an Example [J]. Journal of Library and Information Science in Agriculture, 2022, 34(4): 50-62.
[8] LUO Menglan, WEN Tingxiao. A qualitative Study on the Professional Identity of Agricultural College Students [J]. Journal of Library and Information Science in Agriculture, 2022, 34(4): 84-93.
[9] CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue. Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry [J]. Journal of Library and Information Science in Agriculture, 2022, 34(3): 37-50.
[10] ZHENG Guangchun, ZHANG Yuhao, YAN Hui. From Backburner to the Forefront: Review of the Application of Autoethnography in the Information Science Field [J]. Journal of Library and Information Science in Agriculture, 2022, 34(2): 40-47.
[11] WAN Hao, ZHANG Fujun, LV Qianqian. The Validity of Peer Review Results of DEA Based Super Efficiency Projects [J]. Journal of Library and Information Science in Agriculture, 2022, 34(2): 88-101.
[12] WANG Xin, LU Yao, YUAN Xue, ZHAO Wanjing, CHEN Li, LIU Minjuan. A Survey of Author Name Disambiguation Techniques of Academic Papers [J]. Journal of Library and Information Science in Agriculture, 2022, 34(10): 82-90.
[13] FAN Zhixuan, WANG Jian, SA Xu, ZHANG Guilan. Structure-Utility of Descriptive Information of Agricultural Scientific Data from the Perspective of Users [J]. Journal of Library and Information Science in Agriculture, 2022, 34(10): 57-69.
[14] ZHANG Min. Overseas Copyright Literacy Research: Origins, Progress and Advances [J]. Journal of Library and Information Science in Agriculture, 2021, 33(9): 83-92.
[15] ZHU Suoling, BAO Ping. Practice and Thoughts on Digital Humanities in the Research of Chinese Agricultural History: Taking the Digital Humanities Project of the Chinese Academy of Agricultural Civilization as an Example [J]. Journal of Library and Information Science in Agriculture, 2021, 33(8): 79-87.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Editorial Board of Journal of Library and Information Science in Agriculture
Tel：(010)82109667　Fax：(010)82109667　E-mail：xuekan＠caas.cn
Powered by Beijing Magtech Co., Ltd.
知识共享许可协议