Data Governance Maturity Model in University Libraries of Mazanda

Document Type : Original Article

Authors

1 PhD. Student, Department of Information Science, Babol Branch, Islamic Azad University, Babol, Iran.

2 Assistant Professor, Department of Information Science, Babol Branch, Islamic Azad University, Babol, Iran

3 Assistant Professor, Department of Information Science, Babol Branch, Islamic Azad University, Babol, Iran.

Abstract

Purpose: The present study deals with the maturity model in Mazandaran university libraries at maturity levels. The purpose of this study was to determine the maturity level of university libraries in Mazandaran province in order to enhance the maturity levels and express the status quo and propose a maturity model compatible with the requirements of academic libraries.
Method: The present study is of applied type. Using the qualitative approach of digital library texts and maturity model, quantitative analysis was used to determine the maturity level of university libraries in Mazandaran province. The study population consisted of 10 experts and 210 experts and librarians who completed and returned questionnaires by e-mail and in person. The data were analyzed by SPSS software and confirmatory factor analysis. Structural equation modeling was performed using Smart PLS software.
Findings: According to the findings and review of codes and ranking of research indicators, the code of hardware and software systems is in the first place, which indicates the importance of hardware and software systems and the necessary conditions in the maturity of academic libraries. Information systems, users and data quality, collection and organization, management, Internet and network, organization and employees are the next most important priorities, respectively.
Conclusions: In fact, the maturity level of university libraries in Mazandaran province is at level 2 and they a re relatively far from reaching the ideal level (level 5)
 
 

Keywords


Abraham, R.; Schneider, J. & Brocke, J.V. (2019). Data governance: A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49: 424-438. https://doi.org/10.1016/j.ijinfomgt.2019.07.008
Aghili, M.; Pourzarandi, M .E. & Bayat Turk, A. (2020). The survey for mediating role of Operational coordination in the effect of Strategy alignment on IT Governance maturity. Organizational Resources Management Researchs, 3: 1-24. [In Persian]
Akbari, A.; Noushin Fard, F. & Hariri, N. (2019). Identifying and prioritizing the barriers to knowledge flow in university libraries based on the maturity model of knowledge management belonged to the American Productivity and Quality Center. Journal of Library and Information Science, 8(2): 129-146. [In Persian]
Bhansali, N. (2014). Navigating the Organization to Ensure Data Governance. In: DATA GOVERNANCE: Creating Value from Information Assets. Taylor & Francis Group.
Cox, A.M.; Kennan, M.A.; Lyon, L.; Pinfield, S. & Sbaffi, L. (2019). Maturing research data services and the transformation of academic libraries. Journal of Documentation,75(6): 1432-1462.
Egberongbe, H.; Sen, B. & Willett, P. (2017). The assessment of quality maturity levels in Nigerian university libraries. Library Review, 66(6/7): 399-414.
https://doi.org/10.1108/LR-06-2017-0056
Fathollahzadeh, F. & Amini, M. (2017). An Overview of Data Governance Maturity Models in Businesses. In: Fifth Conference of IT Managers. Tehran: Iran Information Science and Technology Research Institute and the Presidential Institution. [In Persian]
Gupta, U. & Cannon, S. (2020). Data Governance Maturity Models: A Practitioner's Guide to Data Governance. Emerald Publishing Limited: 143-165.
https://doi.org/10.1108/978-1-78973-567-320201007.
Hariri, N. & Sheikhzadeh, M. (2014). Determining the evaluation criteria of information technology maturity in Iranian university libraries. Information Systems and Services, 2(6): 45-54. [In Persian]
Kashfi, H.; Mobasheri, M. & Sayyadi, P. (2020). Data maturity model of Iranian organizations. In: The Third National Conference on Organizational Architecture Advances. Tehran: Sharif University of Technology: 165-171. [In Persian]
Lynch, C. (2000). From Automation to transformation: forty years of libraries and information technology in higher education. Educause review, 35(1): 60-68.
Marchildon, P.; Bourdeau, S.; Hadaya, P. & Labissière, A. (2018). Data governance maturity assessment tool: A design science approach. Projectics /Proyéctica/ Projectique, 20(2): 155-193. https://doi.org/10.3917/proj.020.0155.
Olaitan, O.; Herselman, M. & Wayi, N. (2019). A Data Governance Maturity Evaluation Model for government departments of the Eastern Cape province, South Africa. South African Journal of Information Management, 21(1): 1-12. https://doi.org/10.4102/ sajim. v21i1.996.
Proenca, D. & Borbinha, J. (2016). Maturity Models for Information Systems-A State of the Art. Procedia Computer Science, 100: 1042-1049.
Sheikhshoaei, F, & et al. (2017). A basis for designing digital library maturity model: Meta-synthesis method application. Journal of Information Processing and Management, 32(3): 84-874. [In Persian]
Sheikhshoaei, F.; Naghshineh, N.; Alidousti, S. & Nakhoda, M. (2018). Design of a digital library maturity model (DLMM). The Electronic Library, 36(4): 607-619.
https://doi.org/10.1108/EL-05-2017-0114.
Stanford University (2011). The Stanford DG Maturity Model. Data Governance at Stanford. Available at: http://web.stanford.edu/dept/pres-provost/cgi-bin/dg/wordpress/wp-
content/uploads/2011/11/DG-News002.pdf
Yebenes, J.; Zorrilla, M. (2019). Towards a Data Governance Framework for Third Generation Platforms. In: The 2nd International Conference on Emerging Data and Industry 4.0 (EDI40) April 29-May 2, Leuven, Belgium Procedia Computer Science 151 ,614-621. DOI: 10.1016/j.procs.2019.04.082
Young, S.W.H.; Chao, Z. & Chandler, A. (2020). User Experience Methods and Maturity in Academic Libraries. Information Technology and Libraries, 39(1).
https://doi.org/10.6017/ital.v39i1.11787.
CAPTCHA Image