EOSC-Life Common Framework for Quality, Data and Service Management

Building on the existing "Common BMS RI Framework for Quality Management", this document describes the main aspects of quality management in research infrastructures and their role in standardising operational procedures and improving the reliability and reproducibility of results. Implementing a structured approach to research data management is critical to improving the integrity, accessibility, and reusability of data. The formulation of data management plans is mandatory for EC-funded projects. Data provenance, FAIRification and secure access to sensitive data are essential elements of data management. EOSC-Life has developed a set of tools and resources to help research infrastructures manage these aspects effectively. For research infrastructures that offer multiple data services, a structured approach to managing IT services can be beneficial. The FitSM methodology is highlighted in this context, since its flexible and lightweight approach is particularly suited to smaller organisations. By integrating these structured approaches to quality management, data management and IT service management, research infrastructures can significantly improve the overall quality, integrity and reliability of their research activities and services