"3W" Model in Research Data Services: A Case Study of National Research Data Centers in China
Authors: 
Zhifang Tu, Zhiping YangAuthors Info & Claims
Zhifang Tu, Zhiping YangAuthors Info & ClaimsPages 495 - 496
Abstract
The services of national research data centers represent the best practices of research data services in China. In this study, 536 cases are collected from 20 national research data centers, and content analysis method is used to quantitatively and qualitatively discuss the users, services and effects according to "3W" model. The first "W"--serve for whom, the main users are institutes, universities and their researchers. The second "W"--what is served, data services are various and individualized, while large-scale data retrieval and downloads are still the main services, data-based and value-added technical support are included as well. The third "W"--with what effects, the effect and impact is mainly reflected in supporting the development of science & technology and economy & society, the support for government decision-making and international issues are not yet obvious. Hopefully, this study can help government, data centers and academic libraries for further actions.
References
[1]
FANIEL I M, MINOR D, PALMER C L, 2014. Putting research data into context: scholarly, professional, and educational approaches to curating data for reuse//Proceedings of the American Society for Information Science and Technology, https://asistdl.onlinelibrary.wiley.com/doi/pdf/10.1002/meet.2014.14505101016
[2]
PRONK E T, 2019. The time efficiency gain in sharing and reuse of research data, Data Science Journal, 18(10):1--8.
[3]
SI L, LI Y, ZHUANG X, et al, 2015. An empirical study on the performance evaluation of scientific data sharing platforms in China, Library Hi Tech, 33(2):211--229.
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- "3W" Model in Research Data Services: A Case Study of National Research Data Centers in China
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Information & Contributors
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Published In
August 2020
611 pages
ISBN:9781450375856
DOI:10.1145/3383583
- General Chairs:
- Ruhua Huang,
- Dan Wu,
- Gary Marchionini,
- Program Chairs:
- Daqing He,
- Sally Jo Cunningham,
- Preben Hansen
Copyright © 2020 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
- SIGIR: ACM Special Interest Group on Information Retrieval
- IEEE: Institute of Electrical and Electronics Engineers
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Association for Computing Machinery
New York, NY, United States
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Published: 01 August 2020
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- National ScienceLibrary, Chinese Academy of Sciences
Conference
JCDL '20: The ACM/IEEE Joint Conference on Digital Libraries in 2020
August 1 - 5, 2020
Virtual Event, China
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Overall Acceptance Rate 415 of 1,482 submissions, 28%
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