NICE-Food: To support food experts in complex interdisciplinary information retrieval we developed NICE-Food, a knowledge graph and data pipeline combining subgraphs on Nutrition, Ingredients, Contaminants and Environmental impact for the Netherlands. Through data annotation and mapping employing food related ontologies and Resource Description Framework (RDF), NICE-Food enhances the FAIR (Findable, Accessible, Interoperable, Reusable) principles of food data. We used NICE-Food 1) to assess the data overlap between the different NICE domains 2) for the identification of communal food groups across the integrated data 3) to provide food recommendation based on specific food preferences 4) to infer knowledge on contemporary branded products such as meat and fish alternatives. NICE-Food is a knowledge graph consisting of four subgraphs covering data from: 1) N: Dutch Food Composition Database (NEVO) 2) I: Branded Food Database (LEDA) 3) C: Quality Programme for Agricultural Products (KAP) 4) E: The environmental impact of food products. Food data was harmonized using FoodOn and modelled using the food item ontology (Wageningen University & Research) and food safety monitoring ontology (Maastricht University).

V1 contains an empty .txt file to initiate the repository V2 contains Turtle/RDF files that describe parts of the included datasets. These files are part of a submitted manuscript. After acceptance, the files will be made open and public.