数据生命周期视角下的科研数据管理研究——以美国24所高校机构知识库为例

doi:10.13998/j.cnki.issn1002-1248.24-0443

Abstract

Abstract:

[Purpose/Significance] The research paradigm is gradually shifting towards a data-intensive model, where research data has become the cornerstone in the realm of academic endeavors. Effective research data management can enhance the research efficiency of scientific researchers, reduce redundant data collection, and reduce costs. As a central repository for the storage of scholarly research outputs, it is essential that university institutional repositories fulfill their role in research data management. [Method/Process] To gain a full understanding of the evolving landscape, we embarked on a meticulous network-based research investigation. We specifically selected the institutional repositories of 24 prestigious American universities as our research subjects, with the aim of exploring the diverse range of services they provide at different stages of the research lifecycle. Our research was firmly grounded in the data lifecycle framework, which enabled us to systematically examine a wide range of research data management (RDM) services. This included critical aspects such as developing comprehensive research data management plans, establishing robust data organization services and standardized protocols, providing reliable long-term data storage solutions to ensure continued accessibility, enhancing data sharing policies to foster collaboration, strengthening research data quality control measures to maintain integrity, and developing comprehensive research data management training programs to empower researchers. Furthermore, we conducted an in-depth analysis to summarize the characteristics and valuable experiences of American universities in building and maintaining the basic infrastructure of their institutional repositories. [Results/Conclusions] Given the unique circumstances of China's modernization process, this paper distills effective insights and strategies from the institutional repositories of domestic university libraries in the field of research data management services. Our findings highlight the importance of building a localized research data management platform tailored to the specific needs and contexts of Chinese academia. Enhancing the quality of research data management is critical to building a trusted institutional knowledge base and fostering an environment of credibility and reliability. By applying the FAIR (Findable, Accessible, Interoperable, Reusable) and TRUST (Transparent, Responsible, Usable, Sustainable, and Trustworthy) principles, we can facilitate the open and seamless sharing of research data, breaking down barriers to collaboration and innovation. Finally, building a professional scientific research data management team is essential to provide the human capital necessary to navigate the complexities of data management and to promote the development and adoption of best practices in scientific research data sharing. Taken together, these findings help to improve the abiity of the scientific community to harness the full potential of research data to drive the creation and dissemination of knowledge.

Key words: institutional repository, research data management, data management plan, university libraries, open science

CLC Number:

G250.72

Keyi XIAO, Yingying CHEN. Scientific Data Management Based on a Data Life Cycle Perspective: Using the Institutional Repositories Base of 24 Universities in the United States as an Example[J].Journal of Library and Information Science in Agriculture, 2024, 36(7): 88-99.

Figures/Tables 5

Table 1

Statistics of IRs of university libraries in the U.S."

学校名称	机构知识库名称	网址	软件平台
佛罗里达大西洋大学	FAU Digital Library Digital Collections	https://library.fau.edu/digital-library/digital-collection-directory	Digitool
俄勒冈州立大学	ScholarsArchive@OSU	https://ir.library.oregonstate.edu/	Hyrax
华盛顿大学	Research Works at the University of Washington	https://digital.lib.washington.edu/researchworks/	Dspace
密歇根大学	Deep Blue Repositories	https://www.lib.umich.edu/collections/deep-blue-repositories	Samvera
哥伦比亚大学	Columbia Academic Commons	https://academiccommons.columbia.edu	Fedora
加利福尼亚大学洛杉矶分校	UCLA Dataverse	https://dataverse.ucla.edu/	Dataverse
罗格斯大学	Rutgers University Community Repository（RUCore）	https://rucore.libraries.rutgers.edu/	Fedora
宾夕法尼亚州立大学	Scholar Sphere	https://scholarsphere.psu.edu/	Fedora
北卡罗来纳大学教堂山分校	UNC Dataverse	https://dataverse.unc.edu/	Dataverse
弗吉尼亚大学	Libra Data	https://www.library.virginia.edu/libra	Dataverse
哈佛大学	Harvard Dataverse	https://dataverse.harvard.edu/	Dataverse
普林斯顿大学	Dataspace at Princeton University	https://dataspace.princeton.edu/	Dspace
布朗大学	Brown Digital Repository	https://repository.library.brown.edu/studio/	未知
卡内基梅隆大学	Klithub	https://kilthub.figshare.com/	Figshare
加利福尼亚州立大学	Scholar Works	https://scholarworks.calstate.edu/	Samvera、Hyrax 3.6.0
芝加哥大学	Knowledge@UChicago	https://knowledge.uchicago.edu/	未知
西北大学范伯格医学院	Prism	https://prism.northwestern.edu/	Samvera
迈阿密大学	Scholarly Commons	https://sc.lib.miamioh.edu	Dspace
加州理工学院	California Institute of Technology Research Data Repository	https://data.caltech.edu	invenio
亚利桑那大学	The University of Arizona Research Data Repository（ReDATA）	https://arizona.figshare.com	Figshare
肯特州立大学	Open Access Kent State（OAKS）	https://oaks.kent.edu/	islandora
杜克大学	Duke Research Data Repository	https://repository.duke.edu/	Samvera
加州大学圣地亚哥分校	UC San Diego Library Digital Collections	https://library.ucsd.edu/research-and-collections/research-data/index.html	未知
普渡大学	The Purdue University Research Repository（PURR）	https://purr.purdue.edu/	Hubzero

Table 1

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Fig.1

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系统名称	特点
Dataverse	元数据配置个性化操作程度高，对不同版本进行分阶段存储和备份，流程比较完备
Figshare	在线的数据共享云平台，接受各种研究文件类型、支持可视化
Fedora	①处理分布式数据功能强大；②完善的Rest API网络服务；③技术方面：版本控制精准、缓存速度快、数据存储技术多元化；④用户界面：和科研数据对接技术好、支持可视化功能
Dspace	不支持复合数据类型；可视化手段缺乏；更适合出版文献资料

高校机构	数据管理计划	数据组织	数据备份与存储	数据获取与共享	教育培训
佛罗里达大西洋大学	√	√	√	√	√
俄勒冈州立大学	√	√	√	√
华盛顿大学	√	√	√	√	√
密歇根大学	√	√	√	√
哥伦比亚大学	√	√	√	√
加利福尼亚大学洛杉矶分校	√	√	√	√
罗格斯大学	√	√	√	√	√
宾夕法尼亚州立大学	√	√	√	√	√
北卡罗来纳大学教堂山分校	√	√	√	√	√
弗吉尼亚大学		√	√	√	√
哈佛大学	√	√	√	√	√
普林斯顿大学	√		√	√
布朗大学	√	√		√	√
卡内基梅隆大学			√	√
加利福尼亚州立大学		√	√	√
芝加哥大学	√		√	√
西北大学范伯格医学院	√	√	√	√	√
迈阿密大学			√	√
加州理工学院		√	√	√
亚利桑那大学			√	√
肯特州立大学		√	√	√
杜克大学	√	√	√	√	√
加州大学圣地亚哥分校	√	√	√	√	√
普渡大学	√	√	√	√	√

许可证范围	高校机构知识库名称
放弃版权	加利福尼亚大学洛杉矶分校、北卡罗来纳大学教堂山分校、弗吉尼亚大学、哈佛大学、杜克大学
受版权保护	华盛顿大学、罗格斯大学、普林斯顿大学、加利福尼亚州立大学
作者自行选择版权保护程度	俄勒冈州立大学、密歇根大学、哥伦比亚大学、布朗大学、卡内基梅隆大学、芝加哥大学、西北大学范伯格医学院、迈阿密大学、加州理工学院、亚利桑那大学、圣地亚哥大学、普渡大学

Scientific Data Management Based on a Data Life Cycle Perspective: Using the Institutional Repositories Base of 24 Universities in the United States as an Example

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