Impact of data cultural aspect to data governance program in higher education

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Abstract

Higher education is currently facing a data revolution. Universities are flooded with ever-increasing data, but the information tends to be poor. Some universities implement data governance programs (DGPs) by first assessing the level of data governance maturity. From these results, it was concluded that the gap was a problem. The gaps that occur in several frameworks are related to processes, technology, and people. In principle, when improving data governance, the process and technology parts can be improved relatively easily because there are clear indicators that need attention. The problem that still occurs is related to the involvement of users or people or actors in the data governance process. The university also needs a mechanism that can resolve problems in implementing data governance. The reason is the concept of data culture. This paper proposes a measurement mechanism to determine which aspects of data culture will influence the implementation of data governance. The research was conducted using the multiple linear regression (MLR) method to look at the domain of data culture aspects that influence the implementation of the DGP. The research results show that of the three research variables, namely domain importance, planning and context (IPC), domain perception, usability and communication (PUC), and domain people, leadership, and relationship (PLR), the PLR variable is the variable that has the greatest influence on DGP compared to the other two variables. Further research opportunities to assess the maturity of data culture program implementation in universities and other organizations can be made possible by this study.

Keywords: Data Cultural, Data Governance Program, Higher Education, Multiple Linear Regression, DAMA International, Recommendation

Authors’ individual contribution: Conceptualization — F.A.T.; Validation — F.A.T.; Investigation — F.A.T. and H.N.P.; Resources — F.A.T. and H.N.P.; Data Curation — H.N.P.; Writing — F.A.T. and H.N.P.

Declaration of conflicting interests: The Authors declare that there is no conflict of interest.

JEL Classification: C3, O2, O3

Received: 22.07.2023
Accepted: 01.07.2024
Published online: 04.07.2024

How to cite this paper: Tridalestari, F. A., & Prasetyo, H. N. (2024). Impact of data cultural aspect to data governance program in higher education. Journal of Governance & Regulation, 13(3), 8–16. https://doi.org/10.22495/jgrv13i3art1