基于生命周期理论的农业科学数据中心化管理模式

doi:10.11959/j.issn.2096-0271.2022003

Abstract

Abstract:

Governments, research institutions and scientists all over the world have attached great importance to the construction, management and sharing of agricultural science data resources.Relevant international organizations and agricultural science data platforms are particularly active, providing strong support for agricultural science and technological innovation.From the current situation of science data resource construction, science data management centralization is the future development trend.The agriculture science data management centralization mode was explored, the agricultural science data life cycle management model was constructed, and the model was explained from four aspects: science data management standard, data collection and processing, long-term data preservation and data sharing service.This study tries to provide reference for science data management, sharing and service.

Key words: agricultural science data, life cycle, management model, data sharing

CLC Number:

G203

Fei GAO, Guomin ZHOU, Rui MAN. Centralization of agricultural scientific data management model based on life cycle theory[J]. Big Data Research, 2022, 8(1): 24-36.

Figures/Tables 9

References 14

[1]	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, 2019,1(1): 24-37.
	ZHAO R X , ZHAO H , ZHU L . Progress in the development and sharing of big data in agricultural science between China and foreign countries[J]. Journal of Agricultural Big Data, 2019,1(1): 24-37.
[2]	杨传汶, 徐坤 . 基于生命周期的动态科学数据服务模式研究[J]. 图书馆论坛, 2015,35(10): 82-87.
	YANG C W , XU K . Study of dynamic scientific data service model based on life cycle[J]. Library Tribune, 2015,35(10): 82-87.
[3]	储节旺, 夏莉 . 嵌入生命周期理论的科学数据管理体系构建研究——牛津大学为例[J]. 现代情报, 2020,40(10): 34-42.
	CHU J W , XIA L . Research on scientific Data management construction based on life cycle theory[J]. Journal of Modern Information, 2020,40(10): 34-42.
[4]	夏义堃, 管茜 . 基于生命周期的生命科学数据质量控制体系研究[J]. 图书与情报, 2021(3): 23-34.
	XIA Y K , GUAN Q . Biological science data quality control system based on life cycle[J]. Library ＆ Information, 2021(3): 23-34.
[5]	陈欣, 詹建军, 叶春森 ,等. 基于高校科学数据生命周期的社会科学数据特征研究[J]. 情报科学, 2021,39(2): 86-95.
	CHEN X , ZHAN J J , YE C S ,et al. Research on features of social scientific data based on life cycle of university scientific data[J]. Information Science, 2021,39(2): 86-95.
[6]	姚占雷, 谷俊, 许鑫 . 全生命周期视域下人文社科研究数据管理平台的设计与实现[J]. 图书情报工作, 2021,65(7): 25-37.
	YAO Z L , GU J , XU X . Design and implementation of management platform for humanities and social sciences research data in the perspective of full life cycle[J]. Library and Information Service, 2021,65(7): 25-37.
[7]	WILKINSON M D , DUMONTIER M , AALBERSBERG I J ,et al. The FAIR guiding principles for scientific data management and stewardship[J]. Scientific Data, 2016,3: 160018.
[8]	邢文明 . 我国科研数据管理与共享政策保障研究[D]. 武汉:武汉大学, 2014.
	XING W M . Research on policy guarantee of scientific data management and sharing in China[D]. Wuhan:Wuhan University, 2014.
[9]	陈丽君 . 基于生命周期模型的科学数据服务研究[J]. 图书馆研究与工作, 2016(3): 16-19.
	CHEN L J . Study of scientific data service based on life cycle model[J]. Library Science Research ＆ Work, 2016(3): 16-19.
[10]	魏悦, 刘桂锋 . 基于数据生命周期的国外高校科学数据管理与共享政策分析[J]. 情报杂志, 2017,36(5): 153-158.
	WEI Y , LIU G F . Analysis of research data management and sharing policy in foreign universities based on data lifecycle[J]. Journal of Intelligence, 2017,36(5): 153-158.
[11]	黄铭瑞, 李国庆, 李静 ,等. 国家科学数据中心管理模式的国际对比研究[J]. 农业大数据学报, 2019,1(4): 14-29.
	HUANG M R , LI G Q , LI J ,et al. International comparative study on management mode of national science data center[J]. Journal of Agricultural Big Data, 2019,1(4): 14-29.
[12]	武彤 . 基于数据生命周期的美国研究图书馆科学数据开放共享服务研究[J]. 图书与情报, 2019(1): 135-144.
	WU T . Study of American academic library’s open sharing service based on data life cycle[J]. Library ＆ Information, 2019(1): 135-144.
[13]	杨乐, 颜石磊, 李洪波 . 科研数据生命周期研究和数据知识库理论架构[J]. 图书情报工作, 2019,63(1): 91-97.
	YANG L , YAN S L , LI H B . Theoretical study of research data lifecycle and data repository[J]. Library and Information Service, 2019,63(1): 91-97.
[14]	崔磊 . 农业大数据建设的需求、模式与单品种全产业链路推进路径[J]. 大数据, 2019,5(5): 100-108.
	CUI L . Demand and model of agricultural big data construction in China and the way to promote the whole industry chain[J]. Big Data Research, 2019,5(5): 100-108.

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一级分类	二级分类
作物科学	作物种质资源、作物遗传育种、作物耕作与栽培、作物分子生物学
动物科学与动物医学	动物种质资源、动物营养与饲养、动物医学、动物分子生物学
热带作物科学	热带作物种质资源、热带作物遗传育种、热带作物耕作与栽培、热带作物分子生物学、渔业分子生物学
渔业科学	渔业种质资源、渔业遗传育种、渔业水域资源环境、水产养殖、海洋与渔业捕捞
草地与草业科学	品种资源与遗传育种、草地资源、草业生产、草地监测
农业资源与环境科学	农业气象学、农业土壤学、农业土地利用、植物营养与肥料学、农业水资源学、农业生态与环境学、农业遥感、农业规划与生产布局
农业微生物科学	微生物资源、饲用微生物、加工微生物、厌氧微生物、食用微生物
食品营养与加工科学	食品加工、营养品质、标准检测、贮藏保鲜
植物保护科学	植物病虫害、生物防治、杂草鼠害
农业工程	农业机械、灌溉工程
农业农村经济科学	生产经济、贸易价格、市场经济
农业科技基础	科技成果、科技机构、科技人才、科技项目
果树科学	园艺科学、果树病害、果树虫害、果品加工
生物安全	基因安全、物种安全、动植物疫病

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Centralization of agricultural scientific data management model based on life cycle theory

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