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2022 , Vol. 66 >Issue 8: 122 - 133

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.08.013

INFORMATION RESEARCH

A Meta-Synthesis Study of the Interaction Framework of Influencing Factors in the Scientific Research Data Management Services

  • Hu Yuan ,
  • Chen Guodong ,
  • Yao Xiaojie ,
  • Xie Shoumei
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  • 1. School of Public Policy and Administration, Nanchang University, Nanchang 330031;
    2. South-Central University for Nationalities Library, Wuhan 430074

Received date: 2021-11-29

  Revised date: 2022-01-18

  Online published: 2022-04-24

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Abstract

[Purpose/Significance] This article explores the influencing factors of the implementation of scientific research data management services (RDMS), to promote the improvement of scientific research data management service quality and guarantee scientific research innovation. [Method/Process] Based on the meta-synthesis method, this article obtained target documents through mainstream databases and screening and evaluation criteria, interpretively encoded the included documents, summarized them, and built a model of influencing factors of RDMS. At the same time, it sorted out and analyzed the relationship between the dimensions and the main categories in the model. [Result/Conclusion] The research obtains 108 initial concepts, 33 categories, and 11 main categories, which are summarized into a US2C model consisting of four dimensions of users, services, libraries (internal environment), and external environment. The theoretical model framework can provide certain guidance and reference for promoting the implementation of RDMS in academic libraries and research institutions, and is also of great significance to the value manifestation, capacity improvement and sustainable development of academic libraries.

Key words： research data management service; meta-synthesis; influencing factors; theoretical framework; US2C model

Cite this article

Hu Yuan , Chen Guodong , Yao Xiaojie , Xie Shoumei . A Meta-Synthesis Study of the Interaction Framework of Influencing Factors in the Scientific Research Data Management Services[J]. Library and Information Service, 2022 , 66(8) : 122 -133 . DOI: 10.13266/j.issn.0252-3116.2022.08.013

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