The aim of this project is to develop a scalable and reproducible pipeline for the joint analysis of epidemiological, climate, and behavioural data to anticipate and predict dengue outbreaks. Climate-sensitive infectious diseases pose an important challenge for human, animal and environmental health and it has been estimated that over half of known human pathogenic diseases can be aggravated by climate change. While climatic and weather conditions are important drivers of transmission of vector-borne diseases, socio-economic, behavioural, and land-use factors as well as the interactions among them impact transmission dynamics. Analysis of drivers of climate-sensitive diseases require rapid integration of interdisciplinary data to be jointly analysed with epidemiological (including genomic and clinical) data. Current tools for the integration of multiple data sources are often limited to one data type or rely on proprietary data and software. Dengue Advanced Readiness Tools (DART) Pipeline has been developed to address this gap and simplifies complex download, bias correction and aggregation steps.