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• Facilitating the Monitoring and Management of Structural Health in Civil Infrastructures. • An Edge/Fog/Cloud architecture for Structural Health Monitoring. • Unified interface to configure all the necessary steps in an SHM deployment. • Lightweight virtualization of components with containers for a portable distribution and scalability. • Performance analysis in a civil infrastructure with Fog and Cloud deployments. Structural Health Monitoring (SHM) is nowadays a requirement for civil infrastructures like tunnels, bridges and viaducts. With the advances provided by the Internet of Things (IoT) in recent years in areas such as wireless communications, miniaturisation and application protocols, this paradigm is spreading to the wider society to ensure appropriate protection of critical infrastructures. Both fog and edge computing have also strongly contributed to SHM and the IoT by bringing computing as close as possible to where data is produced, thereby reducing the latency response with respect to traditional cloud integrations. In this paper, an Edge/Fog/Cloud architecture for SHM in civil infrastructures is presented. The main goal of this architecture is to create and provide a flexible framework involving all the required components for the management, monitoring and deployment of SHM solutions, enabling high availability and easy distribution of the components over the architecture. The architecture has been evaluated as an alternative to the real deployment in a tunnel of a cloud architecture showing the benefits of adopting an Edge/Fog/Cloud hierarchy. [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]