The exponential growth of scientific data in material science has underscored the
need for robust data management practices that ensure long-term accessibility,
interoperability, and reusability. This thesis addresses these demands by developing
and implementing a FAIR data management workflow, specifically applied to results
derived from scanning electron microscopy analysis of Halloysite samples.
The project focuses on the adoption of the NeXus data format to structure
experimental information, integrating comprehensive metadata extraction and
conversion strategies to improve data reusability and meet the specific electron
microscopy requirements.
The workflow developed enables the transformation of raw SEM outputs into
structured NeXus files, which are subsequently archived in the NOMAD repository,
ensuring persistent accessibility and the assignment of DOIs for future use and
citation.
The thesis discusses the technical background of FAIR principles, the specifics of the
NeXus format, and the experimental procedures for SEM analysis, providing a
detailed account of the challenges encountered, solutions implemented and prospects
for future improvement. By proposing a replicable model, this work contributes to
the advancement of open science and the dissemination of best practices in scientific
data stewardship, ultimately fostering greater transparency, reproducibility and
innovation in material characterization.
