Big data and computational science

EU-wide population databases will be indispensable for answering some key scientific questions raised by the above-mentioned research prioritization areas. Our recommendations on big data and computational science are summarized as follows:

• Stimulate introduction of AI/machine-learning approaches in multiple areas: image analysis, whole genome sequencing, patient-reported outcome information, clinical record datasets, lifestyle parameters, prevention measures and early detection.
• Define the core data records that should be collected from every patient, complemented with predefined disease-specific and patient-specific records, on the assumption that certain data stay in the treating institution unless that patient gives permission for wider use.
• Explore whether patient-initiated data sharing provides an option to create large well-accessible and reliable datasets without violating existing privacy rules.
• Offer practical training courses focussed on acquiring new computational skills relevant for research and clinical care.
• European data protection policies need to prevent the misuse of data without restricting the use of data.

« Back