Search

The fourth industrial revolution considers data as a business asset and therefore this is placed as a central element of the software architecture (data as a service) that will support the horizontal and vertical digitalization of industrial processes. The large volume of data that the environment generates, its heterogeneity and complexity, as well as its reuse for later processes (e.g. analytics, IA) requires the adoption of policies, directives and standards for its right governance. Furthermore, the issues related to the use of resources in the cloud computing must be taken into account with the aim of meeting the requirements of performance and security of the different processes. This article, in the absence of frameworks adapted to this new architecture, proposes an initial schema for developing an effective data governance programme for third generation platforms, that means, a conceptual tool which guides organizations to define, design, develop and deploy services aligned with its vision and business goals in I4.0 era. [ABSTRACT FROM AUTHOR]

The fourth industrial revolution considers data as a business asset and therefore this is placed as a central element of the software architecture (data as a service) that will support the horizontal and vertical digitalization of industrial processes. The large volume of data that the environment generates, its heterogeneity and complexity, as well as its reuse for later processes (e.g. analytics, IA) requires the adoption of policies, directives and standards for its right governance. Furthermore, the issues related to the use of resources in the cloud computing must be taken into account with the aim of meeting the requirements of performance and security of the different processes. This article, in the absence of frameworks adapted to this new architecture, proposes an initial schema for developing an effective data governance programme for third generation platforms, that means, a conceptual tool which guides organizations to define, design, develop and deploy services aligned with its vision and business goals in I4.0 era. [ABSTRACT FROM AUTHOR]

• Data is a business asset and this must be properly governed. • Data governance is critical for Industry 4.0. • Specification and description of data governance requirements for Industry 4.0. • Proposal of a reference framework for constructing data governance systems. • Data governance reference framework based on TOGAF, ISO-42010 and RAS standards. The fourth industrial revolution, or Industry 4.0, represents a new stage of evolution in the organization, management and control of the value chain throughout the product or service life cycle. This is mainly based on the digitalization of the industrial environment by means of the convergence of Information Technologies (IT) and operational Technologies (OT) through cyber-physical systems and the Industrial IoT (IIoT) and the use of data generated in real time for gaining insights and making decisions. Therefore data becomes a critical asset for Industry 4.0 and must be managed and governed like a strategic asset. We rely on Data Governance (DG) as a key instrument for carrying out this transformation. This paper presents the design of a specific governance framework for Industry 4.0. First, this contextualizes data governance for Industry 4.0 environments and identifies the requirements that this framework must address, which are conditioned by the specific features of Industry 4.0, among others, the intensive use of big data, the cloud and edge computing, the artificial intelligence and the current regulations. Next, we formally define a reference framework for the implementation of Data Governance Systems for Industry 4.0 using international standards and providing several examples of architecture building blocks. [ABSTRACT FROM AUTHOR]