Opinion paper on advanced digitalisation of research by the EOSC Steering Board expert group (E03756)

Research reproducibility and data usability will be enhanced if the advanced digitalisation of data collection, validation, analysis, and simulation will be developed and become commons of the research community enforcing the Open Science principles and policies, creating a critical mass of Quality Assessed FAIR Data (QAFAIRD) and research-objects enabling reliable and secure Artificial Intelligence, Machine Learning and Virtual Research Environments. This opinion paper identifies the state of the art of the advanced digitalisation of research as well as the bottlenecks to be addressed to comply with the objectives and to contribute to make a fully operational EOSC.

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