To bring together the diverse and heterogeneous data formats generated in the field—data that lie at the heart of Materials Science digitalization—it is essential to establish a comprehensive data-management strategy. The FAIR data-management principles offer a viable solution to this challenge. Several platforms and infrastructures have been developed and implemented to support FAIR-compliant handling of Materials Science data. This work presents an example of such an approach applied to a case study involving the synthesis, characterization, and optimization of polymer-based nanoparticles produced through spray-drying techniques.
Development of NOMAD-based plugins for FAIR-oriented “digitalization” of materials characterization and fabrication processes within the iEntrance distributed infrastructure. A case study.
Lorenza FerrarioMethodology
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2026-01-01
Abstract
To bring together the diverse and heterogeneous data formats generated in the field—data that lie at the heart of Materials Science digitalization—it is essential to establish a comprehensive data-management strategy. The FAIR data-management principles offer a viable solution to this challenge. Several platforms and infrastructures have been developed and implemented to support FAIR-compliant handling of Materials Science data. This work presents an example of such an approach applied to a case study involving the synthesis, characterization, and optimization of polymer-based nanoparticles produced through spray-drying techniques.File in questo prodotto:
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