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The role of the data management centre for data sustainability at academic university for: Literature review

Karno, Md. Razib and Salleh, Mohd. Subha and Ismail, Nor Azizah and Yus Kelana, Beni Widarman (2023) The role of the data management centre for data sustainability at academic university for: Literature review. International Journal of Academic Research in Business and Social Sciences, 13 (11). pp. 1201-1212. ISSN 2222-6990

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Official URL: http://dx.doi.org/10.6007/IJARBSS/v13-i11/19457

Abstract

Evidence-informed decision-making is increasingly recognised as a standard for policymaking in many fields, including academia and universities. However, many challenges exist in identifying the appropriate evidence, disseminating it to different stakeholders, and implementing it in various settings. Academic universities brought together international experts and stakeholders to increase knowledge in the field of evidence-informed policy, develop a research agenda, strengthen international collaborations, and create a community for sharing experience, research, and best practices. Consequently, the effects of all this new smart dashboard insight are not fully realized. It is imperative to develop a system that can collect, integrate, manage, and analyse on- and off-farm data in real time for practical and relevant actions. Purpose: The University Data Management Centre (UDMC) has been called a "ground-breaking" area for university strategy, and it is among the top future trends for academic universities. Hence, this study aims to systematically review UDMC practices and services, primarily focusing on the challenges, services, and skills along with motivational factors associated with them.

Item Type:Article
Uncontrolled Keywords:Research Data Management, Research Data Management Practices, Research Data Services, Systematic Literature Review
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD30.2 Knowledge management
H Social Sciences > HD Industries. Land use. Labor > HD30.213 Management information systems. Decision support systems
Divisions:Registrar
ID Code:103769
Deposited By: Widya Wahid
Deposited On:23 Nov 2023 08:59
Last Modified:23 Nov 2023 08:59

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