FAIR Data Management of results coming from SEM analysis of Halloysite samples

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.