CUP: J97G22000400006
PRP@CERIC aims to enhance the CERIC-ERIC Research Infrastructure through the implementation of a geographically distributed and scientifically integrated digital ecosystem that provides academic, industrial, and public health users with interconnected expertise and tools to address emerging human, animal, and plant pathogens of potential health, safety, or economic impact.
Research Infrastructures (RIs) from the field of physical and engineering sciences (PSEs) are expected to play a key role in understanding fundamental aspects of pathogenicity and contributing to the effective development of prevention and treatment strategies. State-of-the-art tools and technologies at different and mutually integrated scales (from single molecules to whole organisms) and different spatial domains (from static frames to system dynamics) have the potential to meet the requirements of sensitivity and selectivity demanded by the study of inherently complex biological systems to shed new light on host-pathogen interaction mechanisms.
The project will be managed through both the implementation of new facilities and the upgrade of tools and services of existing facilities, interconnected in a network of thematic platforms and interoperable macro-platforms, based on complementary disciplines such as biology, biochemistry, chemistry, structural biology, physics, bioelectronics, omics sciences, medicinal chemistry, and data science. This approach will support fundamental and applied research in infectious diseases and life sciences, including through the development of strategies dedicated to the treatment and study of samples, integrated into a process compatible with the DNSH (Do No Significant Harm) principle.
The PRP@CERIC project also adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) data guidelines, i.e., data will be processed in a way that is easily findable, accessible, interoperable, and reusable, with a view to open and collaborative science at the international level.
Sustainability will also extend to the educational model as the project includes the implementation of master's degrees for graduate students to train the future EU generation of researchers, users of IR.
