Exploring big data governance frameworks

Ali Al-Badi*, Ali Tarhini, Asharul Islam Khan

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

35 Citations (Scopus)


The recent explosion in ICT and digital data has led organizations, both private and public, to efficient decision-making. Nowadays organizations can store huge amounts of data, which can be accessible at any time. Big Data governance refers to the management of huge volumes of an organization's data, exploiting it in the organization's decision-making using different analytical tools. Big Data emergence provides great convenience, but it also brings challenges. Nevertheless, for Big Data governance, data has to be prepared in a timely manner, keeping in view the consistency and reliability of the data, and being able to trust its source and the meaningfulness of the result. Hence, a framework for Big Data governance would have many advantages. There are Big Data governance frameworks, which guide the management of Big Data. However, there are also limitations associated with these frameworks. Therefore, this study aims to explore the existing Big Data governance frameworks and their shortcomings, and propose a new framework. The proposed framework consists of eight components. As a framework validation, the proposed framework has been compared with the ISO 8000 data governance framework.

Original languageEnglish
Pages (from-to)271-277
Number of pages7
JournalProcedia Computer Science
Publication statusPublished - 2018
Event9th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2018 - Leuven, Belgium
Duration: Nov 5 2018Nov 8 2018


  • Big Data
  • Big Data analytic
  • Big Data governance
  • Big Data governance framework
  • Big Data model
  • Data management

ASJC Scopus subject areas

  • Computer Science(all)


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