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Cloud data governance maturity model

Al-Ruithe, Majid Saliman and BENKHELIFA, Elhadj (2017) Cloud data governance maturity model. In: ICC '17 Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing. ACM Press. ISBN 978-1-4503-4774-7

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Abstract or description

To ensure data governance in cloud computing, it is important to build-in data governance in the planning, strategy and the design phases of cloud computing and adapt a data governance program architecture which makes sure that regular and governance related tasks, are deployed correctly. Cloud data governance requirements must be linked to the business goals in organisations, when they adopt cloud computing. Cloud data governance is an executive level concern in many organisations today, but a method for credible, reliable, and cost-efficient cloud data governance maturity assessment has been lacking. In order to identify and explore the strength and weaknesses of a particular organization's data governance in cloud computing, this paper proposed as a cloud data governance maturity model and is intended as a tool to evaluate the ability of organizations to meet the objectives of data governance for cloud computing. The maturity model helps organisations understand their current level of data governance before and after adopting cloud computing based on key dimension for cloud data governance. More importantly, the cloud data governance maturity model can identify a path for future growth in, an organisation toward the ultimate goal which invariably follows an understood and established path. This paper will describe the cloud data governance maturity model and explains how organizations can leverage it to help them govern the use of data more effectively in the cloud environment.

Item Type: Book Chapter, Section or Conference Proceeding
Additional Information: ** From Crossref via Jisc Publications Router. ** Licence for VoR version of this article starting on 22-03-2017: http://www.acm.org/publications/policies/copyright_policy#Background
Faculty: School of Creative Arts and Engineering > Engineering
SWORD Depositor: JISC pubrouter
Depositing User: JISC pubrouter
Date Deposited: 25 Jun 2018 13:54
Last Modified: 24 Feb 2023 13:51
Related URLs:
URI: https://eprints.staffs.ac.uk/id/eprint/4522

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