The rapid evolution of Industry 4.0 has underscored the importance of digital technologies, particularly Digital Twins (DTs), in enhancing manufacturing processes through real-time monitoring, simulation, and data-driven decision-making. However, the existing frameworks for the development of IoT-based Digital Twins are incomplete and fail to address the new requirements introduced by the Industry 5.0, such as sustainability, human-centricity and resilience. To address these requirements, a new standard framework, adapted from the Internet of Things Architectural Reference Model (IoT-ARM) originally developed under a European Union-funded project between 2010 and 2013, has been realized. This thesis implements a monitoring Digital Twin case study to validate the newly proposed framework with the aim of proving its validity in the manufacturing sector.