This Computational Modelling of Health Data Working Group aims to establish a curated, community-driven resource to support the development and dissemination of computational models in health research. It will provide detailed guidance on how to develop models using appropriate inputs related to health research domain —such as data features, synthetic and simulated datasets, open-source software, and parameters—ensuring reproducibility and accessibility. By consolidating best practices, standard protocols, and examples across a range of model types including simulation, statistical, machine learning, and large language models,...