FAIR DO Applications: Achievements and Challenges

Recent application cases of FAIR DOs in the context of Machine Learning show their usability to facilitate automated data processing and linking distributed data. However, the implementation and use of the FAIR DOs have highlighted the issues that need to be addressed in the future; i.e. the granularity of the data being represented by FAIR DOs (data sets vs data elements), the granularity of the attributes in the FAIR DO’s information record (general vs specific information), and the specifications for operations.