Disease Maps are computational and visual knowledge repositories constructed to catalogue, standardise, and model disease-related mechanisms. They allow to bridge the knowledge gap between biomedical experts and the computational biologists towards contextualised data analysis and modelling of a given pathophysiology. Disease Maps are built using graphical and computational Systems Biology standards and can be used as interactive knowledge repositories, platforms for visual analytics of omics datasets, or integrated into large-scale computational workflows. With the global impact of COVID-19, we organised a community effort to develop a COVID-19 Disease Map to help researchers worldwide to study the mechanisms of the SARS-CoV-2 – host interactions. Our effort engaged over 250 members, contributing as domain experts, diagram curators, analysts, and modellers. This talk will discuss the challenges of community biocuration and integration of a plethora of resources, from Systems Biology diagrams, through interaction databases and text mining results to modelling pipelines of varying granularity.