The Impact of Key Stakeholders and the Computer Skills of Librarians on Research Data Management Support Services (Id so-21-1893.r2)

Author:

Zotoo Isidore Komla1ORCID,Liu Guifeng2,Lu Zhangping3,Essien Frank Kofi3,Su Wencheng2

Affiliation:

1. School of Management, Jiangsu University/ Accra Institute of Technology

2. Institute of Science and Technology Information, Jiangsu University, Zhenjiang, China

3. School of Management, Institute of Science and Technology Information, Jiangsu University, China

Abstract

This study aims to investigate key stakeholders’ impact and to assess its effect on Research Data Management (RDM), thereby setting the agenda for sound local government Research Data Management (RDM) policy for maximum profit. This study relies mainly on the stakeholder’ theory. Our target population is stakeholders in RDM. The survey used the Partial Least Squares and Structural Equation Modeling tool with a sample of 295 received from respondents to find the effect among the stakeholders. The Statistical results confirmed there is a positive effect among stakeholders. The Funders agencies criteria influence researchers’ work. The effect of government support policies on librarians RDM support services was positive but not significant. The impact of computer literacy of librarians on the RDM support service delivered by librarians was insignificant. The finding is mainly due to overreliance on manual approach to work in most libraries in Ghana as a result inadequate fund support. Librarians need to take a leading role in RDM to implement RDM policy fully. This study contributes to the discourse by helping to strengthen the existing relationship and also to understand the role of various stakeholders in RDM. Stakeholders in Ghana and developing countries need to take greater responsibility to achieve success. Government can rely on it for policy formulation. The research can be used to expand the existing stakeholders’ effective support and interactions as well as in teaching. The survey results can also help identify best practices, improve current observation, and compare practices across different countries.

Funder

General Project of National Social Science Foundation of China Research on Design and system construction of scientific data fusion mode

Publisher

SAGE Publications

Subject

General Social Sciences,General Arts and Humanities

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