Project results in Open Access

In this section, you will find the results of the DARE project in open access: software resources on GitHub, publications on Zenodo, and public datasets.

OPEN ACCESS RESOURCES

ZENODO DARE COMMUNITY

DATASET:

Arcobelli, V. A., Moscato, S. et al. MOTU data. FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients. UNIBO. Zenodo, 2024. Available at: https://zenodo.org/records/12192276.
Arcobelli, V. A., Moscato, S. et al. FHIRED MOTU data. FHIR-standardized data collection on the clinical rehabilitation pathway of trans-femoral amputation patients. UNIBO. Zenodo, 2024. Available at: https://zenodo.org/records/12192333.
Prinzi, F., Militello, C. et al. MultiD4CAD: Multimodal Dataset composed of CT and Clinical Features for Coronary Artery Disease Analysis. UNIPA. Zenodo, 2025. Available at: https://zenodo.org/records/15148653.

SOFTWARE:

Lanubile, F., Capolongo, R., Quaranta, L., et al. MLOps pipeline. UNIBA. GitHub Repository, 2024. Available at: https://github.com/collab-uniba/Cookiecutter-MLHOps
Marfoglia, A., (Almahealthdb team) FHIRED pipeline. UNIBO. GitLab Repository, 2024. Available at: https://gitlab.com/almahealthdb/ahdb-mapping-service
Borra, D., et. al. Workflow for trustworthy EEG decoding with deep neural networks. UNIBO. GitHub Repository, 2025. Disponibile su: https://github.com/speechbrain/benchmarks/tree/main/benchmarks/MOABB
Borra, D., Magosso, E. AI Framework for automatically revealing spatial-temporal-spectral EEG signatures. UNIBO. Zenodo, 2025. Disponibile su: https://zenodo.org/records/16156956

GREY LITERATURE:

Mellone, S., Viceconti, M., et al. Use of wearable sensors in clinical studies: regulatory aspects. White Paper. Zenodo. 2023. Available at: https://zenodo.org/records/10071253.
Viceconti, M. Assessing the credibility of quantitative information: a general framework. Preprint. Zenodo. 2025. Available at: https://zenodo.org/records/15340847.
Viceconti, M. Supplementary material to the manuscript “Assessing the credibility of quantitative information: a general framework”. Supplementary Material. Zenodo. 2025. Available at: https://zenodo.org/records/15340552.