Results of an Analysis of Existing FAIR Assessment Tools

Dear Emilie, 

Many thanks for your comment and apologizes for the late reply. 

Please find below the questions that were truncated in the document; 

• Are standard vocabularies, thesaurus or ontologies used for all data types present in datasets, to enable interdisciplinary interoperability between well defined domains? If not, is a well-defined open data dictionary provided?
• Please provide the URL to a formal Linkset or copy/paste the content of a formal linkset that describes at least a portion of the content at RESOURCE ID
• Does the researcher provide information on methods and tools that permit the understanding, integrity, value and readability of data intended to be kept on the long-term ? (e.g. versioning, archival and long term reuse issue for protocols, softwares, required methods and contexts to create, read and understand data)

Besides, this exercise served the sole purpose of comparing existing methodologies to measure FAIRness. We looked at the questions and options they were proposing. Thus, I would suggest if you have questions, such as your first or second to last bullet, to directly ask them on the dedicated GitHub where the WG is very active. 

Indeed, the next step is to identify core elements for the evaluation of FAIRness, which is an exercise we are currently doing. 

I remain at your disposal for further clarifications. 

Best, 

Christophe