Assess data & test objective
After FAIRifying the data/database and making the database available for use or re-use, the FAIR status should be monitored. For this, it is important to collect user feedback. It is hard to achieve a database that is 100 % FAIR compliant. Setting objectives in the pre-FAIRification set a balance between the FAIRifcation efforts and the benefits for the use. For example, it was decided not to provide an exhaustive provenance of data and user feedback now shows that such provenance is in high demand. Also, a target group may have been overlooked which clearly appears in the data queries. The decision was made to FAIRify only a subset of data and usage statistics show that data outside this subset is actually downloaded more often.
In the Use Case 2, an inventory of citizen-led initiatives in the low-carbon energy domain was FAIRified. The FAIRification process resulted in a single RDF (turtle) document that was uploaded to an open data repository. However, many user found it hard to work directly with the RDF document and query the database. A number of tailor-made SPARQL queries were developed and made available to generate query results in the form of csv tables searching the data.