Deep Learning, Feature Learning, and Clustering Analysis for SEM Image Classification. - Rossella Aversa; Piero Coronica; Cristiano De Nobili; Stefano Cozzini (Data Intell., 2020)

Metadata Schema to support FAIR Data in Scanning Electron Microscopy. - Reetu Joseph; Aditya Chauhan; Catriona Eschke; Ahmad Zainul Ihsan; Mehrdad Jalali; Ute Jäntsch; Nicole Jung; C. N. Shyam Kumar; Christian Kübel; Christian Lucas; Matthias Mail; Andrey Mazilkin; et al. (DAMDID/RCDL (Supplementary Proceedings), 2021)

Long Term Interoperability of Distributed Research Data Infrastructures. - Marius Politze; Yusra Shakeel; Sirieam Hunke; Philipp Ost; Rossella Aversa; Benedikt Heinrichs; Ilona Lang (CoRDI, 2023)

FAIR Data Management Workflow for MRI Data. - Rossella Aversa; Neil MacKinnon; Nicolas Blumenröhr (DaMaLOS, 2023)

MSLE: An ontology for Materials Science Laboratory Equipment. Large-Scale Devices for Materials Characterization. - Mehrdad Jalali; Matthias Mail; Rossella Aversa; Christian Kübel (CoRR, 2023)

FDO-Based FAIR-by-Design Upgrade of an Interdisciplinary Research Infrastructure for Nanoscience. - Dario De Angelis; Irene Modolo; Rossella Aversa; Giuseppe Piero Brandino; Stefano Cozzini; Ruggero Lot; Mirco Panighel; Andrea Recchia; Cristina Africh; Giorgio Rossi (FDO, 2024)

An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks: from metadata schema to first user experience. - Fabian Kirchner; D. C. Florian Wieland; Sarah Irvine; Sven Schimek; Jan Reimers; Rossella Aversa; Alexey Boubnov; Christian Lucas; Silja Flenner; Imke Greving; André Lopes Marinho; Tak Ming Wong; et al. (CoRR, 2025)

Towards Machine-actionable FAIR Digital Objects with a Typing Model that Enables Operations. - Maximilian Inckmann; Nicolas Blumenröhr; Rossella Aversa (CoRR, 2025)