4. Making data interoperable

Are the data produced in the project interoperable, that is allowing data exchange and re-use between researchers, institutions, organisations, countries, etc. (i.e. adhering to standards for formats, as much as possible compliant with available (open) software applications, and in particular facilitating re-combinations with different datasets from different origins)?

What data and metadata vocabularies, standards or methodologies will you follow to make your data interoperable?

Will you be using standard vocabularies for all data types present in your data set, to allow inter-disciplinary interoperability?

In case it is unavoidable that you use uncommon or generate project specific ontologies or vocabularies, will you provide mappings to more commonly used ontologies?

Will your data include qualified references to other data (e.g. other data from your project, or datasets from previous research)?

Sample:

4. Making data interoperable 

We plan to make our datasets interoperable by using controlled vocabularies, keywords or ontologies where possible and by using file formats that are as open and widely used as possible.