Genomic data curation is a particularly important component of the NextGen toolbox. Data curation is a process to ensure accuracy, consistency, and usability of genomic data by addressing structural and content-related issues – such as missing, invalid, or inconsistent entries.

Manual curation processes are very time-consuming and difficult to scale because of the size and scale of large-scale genetic association studies that can include millions of variants.The NextGen genomic data curation tool aims to address these complexities developing and deploying a flexible, AI-guided framework and pipelines, which will improve the accuracy, completeness, and usability of genomic information for the establishment of gene-disease relationships. The tool will also support the integration of relevant genomic data into multimodal datasets, a step that can enhance both algorithmic precision and predictive performance in cardiovascular disease.It has the purpose to replace manual, non-scalable methods with automated, human-centred pipelines that integrate quality control and enable efficient downstream analysis across distributed datasets, on which NextGen will base its dataspace for cardiovascular disease.