Colorectal cancer (CRC) is the 3rd most common type of cancer worldwide and its occurrence is increasing, especially in populations with lower socioeconomic status, due to unhealthy dietary habits and lifestyle among others. The research project ‘ONCODIR: Evidence-based Participatory Decision Making for Cancer Prevention through implementation’ will identify risk factors associated with colorectal cancer and will integrate multidisciplinary research methods and technologies (including health policy analytics, artificial intelligence and decision support theories) to deliver evidence-based and personalised recommendations on colorectal cancer prevention.

In ONCODIR, the School of Informatics contributes to the project’s semantic backbone by developing the Knowledge Graph that integrates heterogeneous data sources such as clinical, behavioral, socio-economic, and lifestyle information. AUTH supports semantic interoperability and the application of FAIR principles through the use of ontologies, mappings, and enrichment pipelines, and by aligning these technologies with the needs of the project’s pilot sites, it helps enable evidence-based, personalized, and participatory strategies for cancer prevention, strengthening the scientific and technical innovation of ONCODIR.