The innovations introduced in the healthcare network and their translation into clinical practice are seeing an exponential increase, thanks to continuous progress and an improvement in the new generation of DNA sequencing technologies and a gradual decrease in the financial resources needed for their use. Today, the challenge to overcome is the lack of large research infrastructures capable of managing and, consequently, interpreting the vast data generated by these technologies. This technologically advanced sector also has repercussions on scientific research (including applied research) and the economic development process. A modern, effective, and efficient health system increasingly depends on digital innovation. The systemic management of big data is essential to archive, reprocess, and transform them into new information. Collecting and analyzing health data allows for more targeted patient management, making accurate diagnoses, for instance, for socio-demographic assessments (to reduce costs associated with health services and also predict and prevent epidemics). The main products/services that will characterize the main Hub are as follows:

• Large-scale analysis: integrative analysis of data generated and acquired remotely
• Capabilities in trustworthy AI/ML applied to Big data for Life Sciences
• Design and implementation of a data-sharing platform
• Building and updating the website.