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Abstract/Summary
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The COVID-19 pandemic is challenging healthcare systems and research worldwide. Clinical observations in hospitalised patients are not ready to use efficiently and timely neither by humans nor by machines. The Leiden University Medical Center (LUMC) clinicians and researchers have united to adapt the Research Data Management (RDM) in the hospital in order to make patient data more Findable, Accessible, Interoperable and Reusable (FAIR) for humans and machines. In this paper, we present our FAIRification plan for data management to transform COVID-19 observational patient data collected in the hospital into FAIR data. Our work demonstrates that a FAIR RDM based on open Science, Semantic Web technologies, and FAIR Data Points (FDPs) is providing data infrastructure in the clinics for machine-actionable FAIR research objec
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