This thesis presents the design and development of a web-based data management platform tailored to the needs of the Laboratory for Electron Microscopy (LAME) at Area Science Park, with a specific focus on implementing the FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
The work is situated within the broader context of Italian and European
research infrastructure initiatives such as NFFA-DI and FAIRmat, which
promote standardized, FAIR-by-design data workflows across nanoscience
and materials science domains. The platform, built using the Django web
framework, enables researchers to upload raw electron microscopy data—such
as TEM images, diffraction patterns, and EDS spectra—and convert them
into standardized NeXus files based on the NXem application definition,
stored in an object storage backend powered by MinIO.
To support secure and scalable access, the system integrates with Authentik for identity and access management, enabling single sign-on (SSO)
and role-based permissions. The final platform provides researchers with a
user-friendly interface for organizing, curating, and sharing their experimental data in a reproducible and standards-compliant way.
