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"3W" Model in Research Data Services: A Case Study of National Research Data Centers in China

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Published:01 August 2020Publication History

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.2014.14505101016Google ScholarGoogle Scholar
  2. PRONK E T, 2019. The time efficiency gain in sharing and reuse of research data, Data Science Journal, 18(10):1--8.Google ScholarGoogle Scholar
  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.Google ScholarGoogle ScholarCross RefCross Ref

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  1. "3W" Model in Research Data Services: A Case Study of National Research Data Centers in China

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          • Published in

            cover image ACM Conferences
            JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020
            August 2020
            611 pages
            ISBN:9781450375856
            DOI:10.1145/3383583

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 1 August 2020

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