开放存取知识库及其数据采集规范的研究

doi:10.11959/j.issn.2096-0271.2019041

Abstract

Abstract:

Under the background of building academic big data and promoting academic sharing,the current development status of open-access repositories was investigated and domestic and foreign research were summarized on data scale,regional distribution and system software.Taking the establishment of building academic institutional repositories as an example,the data collection requirements were analyzed and the commonly used data acquisition specifications were summarized from the aspects of data attributes,metadata standards and semantic deduplication.Finally,combined with the problems and challenges faced by China in developing open-access repositories,reasonable suggestions were put forwar.

Key words: open-access, repositories, data, specification

CLC Number:

TP3，G250.74

Meng WAN, Yongfeng ZHANG, Zhenhua LI, Dongyun HUO, Yiyang ZHAO, Lian WANG. Research on open-access repositories and data acquisition specifications[J]. Big Data Research, 2019, 5(5): 48-57.

Figures/Tables 5

References 10

[1]	李月明 . 基于OpenDOAR的开放存取知识库分析与研究[J]. 图书馆, 2017(7): 46-48,98.
	LI Y M . Analysis and research on open access repository based open DOAR[J]. Library, 2017(7): 46-48,98.
[2]	BJORK B C . Gold,green,and black open access[J]. Learned Publishing, 2017,30(2).
[3]	何琳 . OpenDOAR和机构知识库发展现状[J]. 图书馆工作与研究, 2009(2): 30-33.
	HE L . OpenDOAR and development of institutional repository[J]. Library Work and Study, 2009(2): 30-33.
[4]	杨武健, 王学勤 . DSpace机构知识库系统的分析与研究[J]. 现代情报, 2006(11)： 22-222,225.
	YANG W J , WANG X Q . Analysis and research of dspace institutional repository system[J]. Journal of Modern Information, 2006(11): 220-222,225.
[5]	祝忠明, 马建霞, 卢利农 ,等. 机构知识库开源软件DSpace的扩展开发与应用[J]. 现代图书情报技术, 2009(Z1): 11-17.
	ZHU Z M , MA J X , LU L N ,et al. Developing an institutional repository platform via extending dspace[J]. New Technology of Library and Information Service, 2009(Z1): 11-17.
[6]	ZHU Z M , ZHANG W Q , LIU W ,et al. CSpace–a more practical and customizable repository platform serving local needs[J]. Polymer-Plastics Technology and Engineering, 2010,49(7): 662-671.
[7]	吴玲芳 . 用于机构知识库的元数据研究[J]. 现代情报, 2009,29(8): 128-130,134.
	WU L F . Study on metadata used in institutional repository[J]. Journal of Modern Information, 2009,29(8): 128-130,134.
[8]	杜小勇, 陈峻, 陈跃国 . 大数据探索式搜索研究[J]. 通信学报, 2015,36(12): 77-88.
	DU X Y , CHEN J , CHEN Y G . Exploratory search on big data[J]. Journal on Communications, 2015,36(12): 77-88.
[9]	李建伟, 宋文, 汤怡洁 ,等. 科研本体知识库数据建设研究[J]. 现代图书情报技术, 2013(11): 15-21.
	LI J W , SONG W , TANG Y J ,et al. Research on data building for knowledge base based on scientific research ontology[J]. New Technology of Library and Information Service, 2013(11): 15-21.
[10]	朱立禄, 宋世俊, 王琳 . 国内外机构知识库建设现状及建议[J]. 现代情报, 2017,37(3): 109-115.
	ZHU L L , SONG S J , WANG L . The development status of worldwide institutional repositories and some corresponding measures[J]. Journal of Modern Information, 2017,37(3): 109-115.

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序号	国家	数量/个	比例
1	美国	575	13.89%
2	英国	283	6.84%
3	德国	237	5.72%
4	日本	235	5.68%
5	西班牙	145	3.50%
6	法国	139	3.36%
7	意大利	139	3.36%
8	克罗地亚	116	2.80%
9	巴西	109	2.63%
10	波兰	106	2.56%

序号	机构名称	下载量/次	数据量/条
1	半导体研究所	3 087 717	15 557
2	文献情报中心	1 544 048	8 535
3	力学研究所	1 475 556	17 577
4	生态环境研究中心	1 175 433	22 838
5	合肥物质科学研究院	1 006 240	16 016
6	水生生物研究所	873 957	12 494
7	沈阳自动化研究所	843 349	17 073
8	大连化学物理研究所	736 712	34 014
9	金属研究所	657 976	31 669
10	地理科学与资源研究所	472 921	27 518

字段	类型	长度/byte	字段	类型	长度/byte
题名	Varchar	255	页码	Varchar	255
作者	Varchar	255	摘要	LongText	-
作者单位	Varchar	255	doi	Varchar	255
期刊名称	Varchar	255	ISSN	Varchar	255
会议名称	Varchar	255	卷	Int	10
类别	Varchar	255	期	Int	10
分类代码	Varchar	255	会议地点	Varchar	255
来源数据库	Varchar	255	会议代码	Varchar	255
通信作者	Varchar	255	唯一获取号	Varchar	255
会议日期	DateTime	-	出版日期	DateTime	-

序号	英文名称	中文名称	定义
1	title	题名	赋予资源的名称
2	creator	创建者	创建资源内容的主要责任者
3	subject	主题	资源内容的主题描述
4	description	描述	资源内容的说明
5	publisher	出版者	可以获得资源并使其可用的责任者
6	contributor	其他责任者	对资源的内容做出贡献的其他实体
7	date	日期	与资源生命周期中的一个事件相关的时间
8	type	类型	资源内容的特征或类型
9	format	格式	资源的物理或数字表现形式
10	identifier	标识符	在特定的范围内给予资源的一个明确的标识
11	source	来源	对当前资源来源的参照
12	language	语种	描述资源知识内容的语种
13	relation	关联	对相关资源的参照
14	coverage	覆盖范围	资源内容涉及的外延与覆盖范围
15	rights	权限	有关资源本身所有的或被赋予的权限信息

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Research on open-access repositories and data acquisition specifications

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