| 国内数据监护平台研究热点与进展探析 |
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| 引用本文： | 周宇,欧石燕.国内数据监护平台研究热点与进展探析[J].图书情报工作,2016,60(22):116-125. |
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| 作者姓名： | 周宇 欧石燕 |
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| 作者单位： | 南京大学信息管理学院 南京 210023 |
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| 基金项目： | 本文系国家社会科学基金重大项目“面向大数据的数字图书馆移动视觉搜索机制与应用研究”（项目编号：15ZDB126）和2016年度江苏高校“青蓝工程”项目研究成果之一。 |
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| 摘 要： | 目的/意义]对国内数据监护平台相关研究成果进行调研分析，归纳研究热点、研究特征和研究框架，总结研究中存在的不足，提出发展建议，为今后国内数据监护平台研究提供参考和借鉴。方法/过程]以中国知网（CNKI）和维普中文科技期刊库为来源数据库，采集国内2011年1月至2016年6月间发表的有关数据监护平台的期刊论文（CSSCI收录）和学位论文，采用比较法和归纳法分析并揭示研究热点，并对相关研究成果进行评述；利用文献调查法和网络调查法，对国内主要数据监护实践平台进行比较分析。结果/结论]研究结果表明：①国内对数据监护平台的研究发展很快，研究热点集中在数据监护平台理论框架、科学数据组织、科学数据集成、数据监护平台构建4个方面；②国内数据监护平台研究还存在不足，需要在数据监护框架与功能模块、科学数据语义描述、数据整合与统一检索、数据服务方式等方面进行深入研究。
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| 关 键 词： | 数据监护 数据监护平台 科学数据管理 |
| 收稿时间： | 2016-08-20 |
Study on Research Focus and Progress of Data Curation Platform in China |
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| Zhou Yu,Ou Shiyan.Study on Research Focus and Progress of Data Curation Platform in China[J].Library and Information Service,2016,60(22):116-125. |
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| Authors: | Zhou Yu Ou Shiyan |
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| Institution: | School of Information Management, Nanjing University, Nanjing 210023 |
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| Abstract: | Purpose/significance] Based on research papers relevant to data curation platforms in our country, this paper gives a review on the research status and hot topics in this area, points out the weakness of current research, and proposes some suggestions to the development of domestic data curation platforms. Method/process] Based on 63 domestic research papers and dissertations (2011/01-2016/06) on data curation platforms collected from CNKI and VIP Chinese Journals, we investigate the research topics using comparative and inductive research method and compare representative data curation platforms through literature survey and network survey. Result/conclusion] The research results include:① Domestic research on data curation platforms has grown rapidly since 2011 and focuses on four aspects:theoretical frameworks on data curation platform, scientific data organization, scientific data integration, development and implementation of data curation platforms; ② There are still some shortcomings in the research on domestic data curation platforms, and further studies should focus on data curation platform frameworks and their functional modules, data semantic annotation, data integration and unified search, data service modes and so on. |
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| Keywords: | data curation data curation platform scientific data management |
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