Abstract
Big data refers to large complex structured or unstructured data sets. Big data technologies enable organisations to generate, collect, manage, analyse, and visualise big data sets, and provide insights to inform diagnosis, prediction, or other decision-making tasks. One of the critical concerns in handling big data is the adoption of appropriate big data governance frameworks to (1) curate big data in a required manner to support quality data access for effective machine learning and (2) ensure the framework regulates the storage and processing of the data from providers and users in a trustworthy way within the related regulatory frameworks (both legally and ethically). This paper proposes a framework of big data governance that guides organisations to make better data-informed business decisions within the related regularity framework, with close attention paid to data security, privacy, and accessibility. In order to demonstrate this process, the work also presents an example implementation of the framework based on the case study of big data governance in cybersecurity. This framework has the potential to guide the management of big data in different organisations for information sharing and cooperative decision-making.
Highlights
The growth in interconnected networks and devices has resulted in an explosive data increase in organisations
The ongoing digitisation of commercial and non-commercial organisations has contributed to this growth, as has the increasingly wide use of Internet of Things (IoT)
This is due to the ethical context, changes in the legal context, the proliferation of cyber criminals, increased malicious insiders, and new attack techniques which have led to the propagation of large scale security breaches in recent years [4, 5]
Summary
The common challenges associated with big data are to store and analyse the collected datasets, to provide insights in a timely manner, and as a result to speed up and improve decision-making processes and to support the achievement of organisation goals [3]. As a common side effect, security and privacy have become one of the crucial concerns related to data storage and usage within organisations This is due to the ethical context, changes in the legal context, the proliferation of cyber criminals, increased malicious insiders, and new attack techniques which have led to the propagation of large scale security breaches in recent years [4, 5]. As reported in [6], about 20.8 billion things will be interconnected around the world in 2020 This increased instrumentation and interconnection will lead to a big rise of cybersecurity issues and safety concerns due to accidental information breaches and organised hacking attempts to various automated systems such as power grid, health, education, banks, government, and other private and public systems. The aforementioned challenges become critical when data governance is not applied in an organisation exploiting big data sets for decision-making. These challenges jointly drive a need to develop a big data governance framework to guide the usage of big data for current decision-making and
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