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Data Governance Taxonomy: Cloud versus Non-Cloud

Author

Listed:
  • Majid Al-Ruithe

    (Cloud Computing and Applications Research Lab, School of Computing and Digital Technologies, Staffordshire University, Stoke-on-Trent ST4 2DE, UK)

  • Elhadj Benkhelifa

    (Cloud Computing and Applications Research Lab, School of Computing and Digital Technologies, Staffordshire University, Stoke-on-Trent ST4 2DE, UK)

  • Khawar Hameed

    (Cloud Computing and Applications Research Lab, School of Computing and Digital Technologies, Staffordshire University, Stoke-on-Trent ST4 2DE, UK)

Abstract

Forward-thinking organisations believe that the only way to solve the data problem is the implementation of effective data governance. Attempts to govern data have failed before, as they were driven by information technology, and affected by rigid processes and fragmented activities carried out on a system-by-system basis. Until very recently, governance has been mostly informal, with very ambiguous and generic regulations, in siloes around specific enterprise repositories, lacking structure and the wider support of the organisation. Despite its highly recognised importance, the area of data governance is still underdeveloped and under-researched. Consequently, there is a need to advance research in data governance in order to deepen practice. Currently, in the area of data governance, research consists mostly of descriptive literature reviews. The analysis of literature further emphasises the need to build a standardised strategy for data governance. This task can be a very complex one and needs to be accomplished in stages. Therefore, as a first and necessary stage, a taxonomy approach to define the different attributes of data governance is expected to make a valuable contribution to knowledge, helping researchers and decision makers to understand the most important factors that need to be considered when implementing a data governance strategy for cloud computing services. In addition to the proposed taxonomy, the paper clarifies the concepts of data governance in contracts with other governance domains.

Suggested Citation

  • Majid Al-Ruithe & Elhadj Benkhelifa & Khawar Hameed, 2018. "Data Governance Taxonomy: Cloud versus Non-Cloud," Sustainability, MDPI, vol. 10(1), pages 1-26, January.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:95-:d:125163
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    References listed on IDEAS

    as
    1. Eric Buffenoir & Isabelle Bourdon, 2012. "Reconciling complex organizations and data management," Working Papers hal-00744410, HAL.
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    Cited by:

    1. Patricia Ordóñez de Pablos & Miltiadis Lytras, 2018. "Knowledge Management, Innovation and Big Data: Implications for Sustainability, Policy Making and Competitiveness," Sustainability, MDPI, vol. 10(6), pages 1-7, June.
    2. Olena Liakh, 2021. "Accountability through Sustainability Data Governance: Reconfiguring Reporting to Better Account for the Digital Acceleration," Sustainability, MDPI, vol. 13(24), pages 1-18, December.
    3. repec:mth:ijmis8:v:4:y:2019:i:1:p:1-19 is not listed on IDEAS
    4. Marzieh Derakhshannia & Carmen Gervet & Hicham Hajj-Hassan & Anne Laurent & Arnaud Martin, 2020. "Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy," Future Internet, MDPI, vol. 12(8), pages 1-16, July.

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