This thesis presents a case study on the FAIRification of scientific data within
the context of the NFFA-DI initiative, which promotes open science and data
standardization in materials science and nanotechnology. The goal was to enhance the quality, usability, and long-term accessibility of legacy laboratory
data collected at the HMMBE Laboratory, a molecular beam epitaxy synthesis facility. To achieve this, a complete workflow was developed to convert
fragmented, unstructured text files into structured, interoperable datasets
using the NeXus format, a hierarchical standard based on HDF5. A new
application definition and two supporting base classes were created to model
the MBE deposition process. Parsing functions were implemented to extract, transform, and enrich data from heterogeneous sources, resulting in
fully structured NeXus files. Consequently, the converted files were validated both in the structure and content. The transformed data were then
uploaded in a local NOMAD repository. A custom plugin and dedicated
NOMAD app were developed to enable proper ingestion, indexing, and visualization of the new data format. The outcome demonstrates how isolated
experimental records can be converted into reusable and interoperable scientific assets, contributing to the advancement of FAIR data practices and
supporting broader goals in open, collaborative research.
