Making cultural heritage publication on ultramarine disease reproducible

The Open Science goal of the project was to make the data available with the Jupyter Python notebooks to analyse the data. One of the scientists involved, Dr. Alessia Gambardella, envisions that the EOSC will offer cultural heritage institutions a platform for sharing collections-based data, enabling epidemiological studies related to any degradation phenomena, or conditions-based inquiries, helping to answer questions that reach beyond that possible with the relatively small datasets acquired in a single collection or site. In line with this vision, all aspects of her publications have been made open and reproducible, including the data analysis.