As indicated by the examples above, support will encourage self-reflection regarding FAIR principles, i.e. is my own data FAIR and if not, what can I do, to achieve this? This part of the FAIR game is strongly associated with data curation, data quality (i.e. quality of description / metadata) and ingest procedures and options, since they provide the automated validation of appropriate data format and metadata description. Hence, to make comprehensive and long-tail data sets FAIRer and future-proof, and by doing so promote the cultural change towards FAIR and Open research data, a good understanding of data ingest procedures and options needs to be facilitated. Within 2Facilitate this is supported by the governmental perspective and data in long-term storage perspective – which includes curation. However, this also relates to many aspects of 2Interoperate and how metadata will be developed (ontologies, vocabulary, mapping, etc.) to allow for a sustainable use of curated data.
By combining the distributed RDM knowledge of experts in the USN in conjunction with the Knowledge Hub, the NFDI4Earth team will convey the notion (knowledge) of a best practice for dealing with data and how data can be made FAIRer and open (by acknowledging privacy and legal issues).