Research on the Development Path of Agricultural Scientific Informatization Under Data-intensive Environments

doi:10.13304/j.nykjdb.2021.1046

Journal of Agricultural Science and Technology ›› 2022, Vol. 24 ›› Issue (7): 1-7.DOI: 10.13304/j.nykjdb.2021.1046

• AGRICULTURAL INNOVATION FORUM • Next Articles

Research on the Development Path of Agricultural Scientific Informatization Under Data-intensive Environments

Ruixue ZHAO¹(), Tan SUN², Xiaorong YANG¹(), Jian WANG¹

^1.Agricultural Information Institution，Chinese Academy of Agricultural Sciences，Beijing 100081，China
^2.Key Laboratory of Agricultural Big Data，Ministry of Agriculture and Rural Affairs； Chinese Academy of Agricultural Sciences，Beijing 100081，China

Received:2021-12-08 Accepted:2022-04-09 Online:2022-07-15 Published:2022-08-15
Contact: Xiaorong YANG

数据密集型环境下农业科研信息化发展路径研究

赵瑞雪¹(), 孙坦², 杨晓蓉¹(), 王剑¹

^1.中国农业科学院农业信息研究所, 北京 100081
^2.中国农业科学院, 农业农村部农业大数据重点实验室, 北京 100081

通讯作者: 杨晓蓉
作者简介:赵瑞雪 E-mail：zhaoruixue@caas.cn；
基金资助:
中国农业科学院科技创新工程项目(CAAS-ASTIP-2016-AII)

Abstract

Abstract:

With deepening of the revolution of data-intensive research paradigm， how to use information technology to promote the integration of rich agricultural data types and application scenarios， and realize the sustainable development of the agricultural science and technology innovation system has become the primary issue for the development of scientific informatization in agricultural research institutions. In order to promote agricultural scientific research innovation， a framework model for the development of scientific informatization was built under the transformation of data-intensive scientific research paradigm， which included 4 dimensions： basic environment， scientific research big data center， intelligent equipment and new scientific research platform. Based on this framework model， the key construction measures and development directions of scientific informatization for researchers’ data ability improvement and innovation needs was proposed， which would help to improve the ability of scientific informatization for “integrate into the environment and embed in the process” in process of innovation and management， and transform scientific informatization from supporting assistance to leading development in the future.

Key words: scientific informatization, data-intensive environment, open science, agricultural scientific research institutions, scientific innovation, development path

摘要：

随着数据密集型科研范式变革的不断深入，如何应用先进的信息技术推动农业领域海量数据融入实际应用场景、引领农业科技创新体系可持续发展，已成为当前农业科研机构科研信息化发展所面临的首要问题。为推动农业科研创新，通过分析数据密集型科研环境下科研活动所面临的新问题和新需求，以信息化支撑能力建设为视角，从信息化基础环境、科研大数据中心、智能化装备和新型科研平台4个维度探讨构建数据密集型科研范式变革下的科研信息化发展路径框架模型。基于此路径框架模型，提出了面向科研人员数据能力提升与创新需求的信息化重点建设举措和发展方向，以期能够全面提升科研信息化在农业科研创新与管理过程中“融入环境，嵌入过程”的能力，促进未来农业科研机构科研信息化从支撑辅助到引领发展的转变。

关键词: 科研信息化, 数据密集型环境, 开放科学, 农业科研机构, 科研创新, 发展路径

CLC Number:

S126

Ruixue ZHAO, Tan SUN, Xiaorong YANG, Jian WANG. Research on the Development Path of Agricultural Scientific Informatization Under Data-intensive Environments[J]. Journal of Agricultural Science and Technology, 2022, 24(7): 1-7.

赵瑞雪, 孙坦, 杨晓蓉, 王剑. 数据密集型环境下农业科研信息化发展路径研究[J]. 中国农业科技导报, 2022, 24(7): 1-7.

Figures/Tables 1

References 24

1	张丽玲.石家庄市农林科学研究院科研管理信息化现状及发展对策[D].北京:中国农业科学院,2011.
	ZHANG L L. Situation and developmental measures on research management information of Shijiazhuang Academy of Agricultural and Forestry Sciences [D].Beijing: Chinese Academy of Agricultural Sciences, 2011.
2	王松成.C核电科研公司信息化建设改进研究[D].济南:山东大学,2018.
	WANG S C. Research on information contruction of C nuclear power research company [D].Jinan:Shandong University,2018.
3	王娟. 高校教育信息化核心应用指标研究[D].武汉:华中师范大学,2016.
	WANG J. Research on the core application index system of ICT in higher education [D]. Wuhan: Central China Normal University,2016.
4	姜明智,曲建升,刘红煦,等.科学组织范式的演变及其发展趋势研究[J].图书与情报,2018(5):44-49, 140.
	JIANG M Z, QU J S, LIU H X, et al.. A research on the transformation of scientific organization paradigm and its developingtrends [J].Library Inform., 2018(5):44-49, 140.
5	张伟庆.科研范式变革背景下高校图书馆参考咨询服务模式创新研究[J].图书馆学刊,2020,42(10):67-70.
	ZHANG W Q. Research on the innovation of reference consulting service model of university library under the background of scientific research paradigm change [J]. Library J., 2020,42(10):67-70.
6	彭鑫,邓仲华.数据密集型科研环境下的科研数据管理框架研究[J].数字图书馆论坛,2017(7):61-67.
	PENG X, DENG Z H. Study of research data management model under the data-intensive scientific environment [J].Digital Library Forum, 2017(7):61-67.
7	张才丽. 高校教师信息化科研实践现状研究[D].重庆:重庆大学,2013.
	ZHANG C L.The study on college teachers’ e-Research practice [D]. Chongqing :Chongqing University,2013.
8	邓敏,徐方.科研管理系统与高校科研管理信息化[J].科技创业月刊,2010(12):93-94.
9	严子淳,李欣,王伟楠.数字化转型研究:演化和未来展望[J].科研管理,2021,42(4):21-34.
	YAN Z C, LI X, WANG W N. Research on digital transformation: evolution and future prospect [J].Res. Manage.,2021,42(4):21-34.
10	李甜.数字管护(Digital Curation)视域下科研档案管理创新研究[J].档案学研究,2021(3):113-120.
	LI T. Research on innovation of scientific research archives management from the perspective of digital curation [J].Arch. Res., 2021(3):113-120.
11	陈光欣,毛波.高校学术研究支撑平台建设方案的初步研究中国教育信息化[J].高教职教,2009(2):31-34.
12	ANDERSON T, KANUKA H. E-Research: Methods, Strategies, and Issues [M].Canda: Ayn & Bacon,2003:1-201.
13	JANKOWSKI N W.e-Research, Transformation in Scholarly Practice [M]. New York: Routledge,2009: 1-366.
14	李世收,仲伟俊,孙宙等.高校科研信息化模型研究[J].河海大学学报(哲学社会科学版),2008,10(1):9-10.
	LI S S, ZHONG W J, SUN Z, et al.. Research on informatization model of scientific research in colleges and universities [J]. J. Hehai Univ. (Phil. Soc. Sci.),2008,10(1):9-10.
15	ATKINSON M.Policy for supporting grid and e-Science education and training [J].Brit. Open Grid Forum,2009,14(2):8-18.
16	周晓英.数据密集型科学研究范式的兴起与情报学的应对[J].情报资料工作, 2012(2):5-11.
	ZHOU X Y. The rise of the data-intensive scientific research paradigm and the response of information science [J].Inform. Documentation Ser., 2012(2):5-11.
17	金莎. 数据密集型科学的运行机制研究[D].天津:天津大学,2018.
	JIN S. Research on the operation mechanism of data-intensive science [D]. Tianjin: Tianjin University,2018.
18	黄鑫,邓仲华.数据密集型科学研究的需求分析与保障[J].情报理论与实践,2017,40(2):66-70, 79.
	HUANG X, DENG Z H. Demand analysis and guarantee of data-intensive scientific research [J].Intel. Theory Practice,2017,40(2):66-70, 79.
19	杜杏叶,李贺,李卓卓.面向知识创新的科研团队数据能力模型构建研究[J].图书情报工作,2018,62(4):28-36.
	DU X Y, LI H, LI Z Z. Research on the construction of data capability model of scientific research team for knowledge innovation [J]. Library Inform. Work, 2018,62(4):28-36.
20	SZABO C, KROEGER T. Evolving multi-objective strategies for task allocation of scientific workflows on public clouds [C]// Proceedings of 2012 IEEE Congress on Evolutionary Computation. IEEE, 2012.
21	贺德方,周华东,陈涛.我国科技创新政策体系建设主要进展及对政策方向的思考[J].科研管理,2020,41(10):81-88.
	HE D F, ZHOU H D, CHEN T. The main progress of the construction of my country’s science and technology innovation policy system and the reflection on the policy direction [J]. Sci. Res. Manage., 2020, 41(10): 81-88.
22	刘晓东.科研信息化发展现状与趋势[J].科研信息化技术与应用,2016,7(1):89-94.
	LIU X D. Development status and trend of scientific research informatization [J].Technol. Appl. Sci. Res. Inform.,2016,7(1):89-94.
23	陈明奇,褚大伟,洪学海,等.科研信息化发展态势和思考[J].中国科学院院刊,2016,31(6):608-613.
	CHEN M Q, CHU D W, HONG X H, et al.. The development trend and thinking of scientific research informatization [J].Proc. Chin. Acad. Sci., 2016,31(6):608-613.
24	邓仲华,李立睿,陆颖隽.大数据环境下嵌入科研过程的信息服务模式研究[J].图书与情报,2014(1):30-34, 40.
	DENG Z H, LI L R, LU Y J. Research on the information service model embedded in the scientific research process under the big data environment [J]. Books Inform. 2014(1):30-34, 40.

Research on the Development Path of Agricultural Scientific Informatization Under Data-intensive Environments

数据密集型环境下农业科研信息化发展路径研究

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 1

References 24

Related Articles 1

Recommended Articles

Metrics