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Short description
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‘Generating a semantic model is often the most time-consuming step of data FAIRification. However, we expect the modelling effort to diminish as more and more models are made available for reuse over time, especially if such models are treated as FAIR digital objects themselves. Thus, it is important to first check whether a semantic model already exists for the data and the metadata that may be reused. For cases where no semantic model is available a new one needs to be generated. |
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’ (Generic) In layman’s terms (Jip en Janneke), add an easy to follow summary, using around three sentences. |
Short description
The semantic model for a dataset describes the meaning of entities (data elements) and their relations in the dataset accurately, unambiguously, and in a computer-actionable way [GOFAIR_Process]. This model can then be applied to the non-FAIR data to transform it into linkable data, which can be queried. Given that generating a semantic model is often the most time-consuming part of the FAIRification process, it is important to first check whether a semantic model is already available for reuse. Creating such a model from scratch requires domain expertise on the dataset and expertise in semantic modeling.
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[BEAT-COVID project] https://jbiomedsem.biomedcentral.com/articles/10.1186/s13326-022-00263-7
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