This level of maturity is defined at cross-community level. At the level, the focus is on cross-domain interoperability and is meant to be the level required for larger harmonization and integration projects.
Level 4 is an aspirational level of FAIR maturity. The main focus of Level 4 is establishing semantic interoperability between datasets within and across multiple studies.
When dataset(s) are typed semantically, means that the data is structured and represented in a logical way. It adds a basic meaning to the data and the relationships that lie between them, for data consisteny and easy maintenance.
Related DSM Indicator
Related FAIR Principle
I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
When dataset(s) are typed semantically, means that the data is structured and represented in a logical way. It adds a basic meaning to the data and the relationships that lie between them, for data consisteny and easy maintenance.
Related DSM Indicator
Related FAIR Principle
I1. (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
If applicable, license information and/or permitted use and accessability to parts of the dataset is formally represented and encoded in a Machine Readable Format.