To make the data as standardized as possible, we want to use controlled vocabulary to describe the different measurement types within the measurement or fact table of the DwC-A. To find suitable terms, we use the ontology lookup service.
While working with different ontologies, the following questions/problems arose:
- Can definitions of subject specific ontologies also be used for other disciplines/in different contexts (e.g., use a term of a biomedical ontology for a plant)?
- Which ontology to choose if they provide different definitions of the same term?
- Does it matter how many different ontologies we refer to within one dataset?
To make the data as standardized as possible, we want to use controlled vocabulary to describe the different measurement types within the measurement or fact table of the DwC-A. To find suitable terms, we use the ontology lookup service.
While working with different ontologies, the following questions/problems arose: