数据FAIR化涉及数据建模、清洗、整合等流程，通过语义模型、元数据架构和评估框架提升数据可发现性、可访问性、互操作性和可重用性，应用于生物医学、 Linked Open Data等领域，并探讨可持续数据准备与机器学习可重复性。 数据FAIRification与质量评估的前沿 ...
In a new publication, researchers from the German Center for Diabetes Research (DZD) and the University Medical Center Greifswald show how research data can be processed to be FAIR on a step-by-step ...
In a new publication, researchers from the German Center for Diabetes Research (DZD) and the University Medical Center Greifswald show how research data can be processed to be FAIR on a step-by-step ...
video: Facilitating and promoting that scientific health data is guided by the FAIR principles (Findable, Accessible, Interoperable, Reusable). This is the objective of FAIR4Health, the European ...
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