Data sharing stimulates science in all scientific disciplines, including the Clinical Neurosciences. Promotion of data sharing and the implementation of standardized harmonization rules among a global research community reduces the burden of unexploited research and plays a critical role in mitigating the problems of reduced sample sizes. Today, medical and research activities in clinical neuroscience produces a massive amount of data that could leverage our knowledge and understanding of brain diseases. Unfortunately, despite growing incentives for open data, most of it remains currently locked in hospitals or labs, either for regulatory or cultural reasons.
The Medical Informatics Platform (MIP) was developed in the framework of the Human Brain Project (HBP) as an innovative tool to investigate, compare and analyse large patient datasets distributed across centers without requiring the data to be transferred and stored outside their site of origin. The platform is integrated in EBRAINS, the sustainable European Research Infrastructure for brain-related research and legacy of the HBP.
Recently, the HBP has started a pilot project with the European Academy of Neurology (EAN) with the idea to use the MIP to promote clinical data sharing using a federated approach. EAN is the primary scientific and educational European organisation in the field of Clinical Neurosciences, including more than 45,000 members, as well as 47 European National Societies. EAN is committed to scientific progress and aims to keep Europe at the forefront of neurological research and to maintain its position as one of the world’s scientific hotpots in neurology.
CALL FOR REGISTRATIONS
The HBP and EBRAINS together with the EAN invite the entire scientific community to join the forthcoming workshop on the Future of Medical Data Sharing in Clinical Neurosciences. This event aims at exposing and openly discussing all issues and challenges associated with data sharing in Europe, from ethics to data safety and privacy, including those specific to data federation, such as the development and validation of federated algorithms. We propose a platform to disclose the preliminary results of these use-cases, four brainstorming sessions involving EAN Scientific Panels, demonstrations and a hands-on session, which will highlight important aspects and issues of medical data sharing and offer participants the possibility to understand how to use the MIP for their own applications.
IN COOPERATION WITH EAN.