**4. Conclusions**

The traceability search engine concept and its developed model fit the purpose of collecting, organising, making available and integrating data and metadata on food quality, safety, traceability, transparency, and the authenticity of products along the food supply chain, following the FAIR approach. The developed model is helpful both to have a graphical visualisation of the entire food supply chain and to have the possibility to carry out different types of searches. Searches can be made on different dimensions alone or in combination between them (type of resource, food/matrix group, food chain, country, aspects related to food science, research area, target audience, access mode, year, chemistry, the parameter of interest) and their different tags (e.g., a step in a specific food supply chain). This model supports users in finding available food data and information, and it provides them with knowledge and guidance, according to the type of user. Indeed, depending on the expertise of the user, much more detailed information can be made available for advanced users and simplifications or summaries can be delivered for less advanced users. Sharing smart data in the network can support all actors in the food system. Thanks to the dedicated information displayed for each user category, companies, policy makers, local authorities and citizens can benefit from the model. This work integrates knowledge of food science and innovative engineering. The next step will be exploring the possibility to integrate blockchain technologies in the demonstrator to give more transparency to all users.

**Author Contributions:** Conceptualization, C.P., K.P. and C.Z.; Investigation, C.P., K.P., A.K., E.P. and C.Z.; Methodology, C.P., K.P., A.K., E.P. and C.Z.; Supervision, K.P. and C.Z.; Writing—original draft, C.P., K.P. and C.Z.; Writing—review & editing, C.P., K.P., A.K., E.P. and C.Z. All authors have read and agreed to the published version of the manuscript.

**Funding:** Food Nutrition Security Cloud (FNS-Cloud) has received funding from the European Union's Horizon 2020 Research and Innovation programme (H2020-EU.3.2.2.3.—A sustainable and competitive agrifood industry) under Grant Agreement No. 863059—www.fns-cloud.eu (accessed on 28 January 2022).

**Data Availability Statement:** Data is contained within the article. **Conflicts of Interest:** The authors declare no conflict of interest. Premotec GmbH actively participated in the conceptualization and the writing of this paper as a partner of the FNS-Cloud project, and it has no conflict of interest.
