FAIRness self-reporting

[ddeboer]

Some data providers want to provide FAIR data. We also need to pass on the FAIRness of datasets to the CLARIAH Register. However, as discussed 4 Oct in our NDE meeting, the Dataset Register won’t be able to determine a FAIRness rating (cf. the inevitably vague FIP), so we have to move this assessment to the source.

So we decide to move this assessment to the source, and have them self-assess their dataset’s FAIRness.

[EnnoMeijers]

The most promising approach for FAIR assessment is to have source to publish their F-UJI Assessment report (in JSON). When this report is available a generic FAIR maturity level could be extracted. In this way reuse can be determined based on this FAIR maturity level. Possible data could be:

<https://lod.uba.uva.nl/CREATE/ECARTICO> schema:contentRating [
    schema:contentURL <https://lod.uba.uva.nl/CREATE/ECARTICO/FUJI-report.json> ;
    schema:ratingValue  "moderate" ; 
                                     # maturity range: 
                                     # 0 - incomplete; 1 - inital; 2 - moderate; 3 - advanced 
                                     # read from published validation rapport in JSON { "summary": { "maturity": { "FAIR": 2,
    schema:ratingExplanation "F-UJI FAIR validation service" ;
] .

A link to the F-UJI report would be a requirement for institutions that offer their data to the research community.