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1000
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Abstract/Summary
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Data-driven medicine is fundamental to improving the accessibility and quality of the healthcare system. The availability of data is crucial for this purpose. In the context of a distributed analytics platform for analyzing healthcare data - employing the Personal Health Train paradigm - we propose to implement a solid data FAIRification infrastructure. This will allow us to achieve findability, accessibility, interoperability, and reusability of data, metadata, and results within a network of several medical centers participating in the BETTER Horizon Europe project, where the study of rare diseases (such as intellectual disability and inherited retinal dystrophies) will be targeted. Impacts will be visible to a large population of healthcare practitioners, prospectively influencing health policymakers.
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