The proposed Recommendation introduces the concept of Crowdsourced Systems, as well as the reference model of IoT-related Crowdsourced Systems for the support of IoT applications and services to be provided via systems employing crowdsourcing principles. It addresses IoT-related Crowdsourced Systems in terms of functional requirements, reference model as well as identifying relevant security, privacy and trust issues. In particular, the main contributions can be summarized as follows: - It identifies and provides the motivation for IoT-related Crowdsourced Systems (recent technological advancements and relevant emerging trends). - It provides definitions of terms that are central when discussing Crowdsourcing and Crowdsourced Systems, thus providing a basis of common understanding. So far, such terms have been used in layman's terms, outside a formal standardised framework; a practice which has led to ambiguity hindering further development of such systems. It is worth noting that the said definitions have been elicited via a rigorous methodology from a plethora of publications (both by academia and the industry); more information can be found in the body of the draft Recommendation. - It provides a high-level reference model identifying the key layers and components of Crowdsourced Systems. The model does not dictate nor indicates a specific implementation or approach for building IoT-related Crowdsourced Systems. On the contrary, it provides a nominal model that facilitates the design and development of such systems by providing a common basis of reference