Open etsoupra opened 7 years ago
Are the FAIR Data Principles fair? Dunning, Alastair; de Smaele, Madeleine; Böhmer, Jasmin https://zenodo.org/record/321423#.WX9Do1GQyvE
Thanks a lot for your comment :) Very interesting article indeed - we are exploring how the information included can help us to make further improvements on the tool we are working on.
Nice. I particularly like this emphasis: "the facets provide targets that will help ..."
Thanks for the references @etsoupra - really useful. I've seen Peter and Ingrid's webinar, but the information in your post and details of the GO-FAIR metrics group will help as we write this up.
I've just been playing around with the assessment tool and had a couple of questions about the scores applied in the Survey Routing Diagrams:
Will all data get a score of 1 or above? If you follow the 'no' paths (e.g. no PID, no metadata, no user licence, proprietary formats etc) it seems the dataset will get a score of 1 at each stage. Did you decide against 0 scores?
Are you considering applying the scores or weightings to metadata as well as data? The main difference in the accessibility criteria is whether the data is open, public access so I guess some sensitive data will never be able to get a high FAIR rating, even if all the metadata are accessible and machine-readable etc. I read the Accessibility criteria A1.2 (the protocol allows for an authentication and authorization procedure, where necessary) as allowing closed or restricted access datasets. It might be useful to find a path that allows for non-open data to score as highly e.g. by awarding scores for clear metadata and info on how to gain access.
What kind of response have you been getting to rebranding the final R as a resultant score? Is this working well so far or do you think you'll change the approach in the GO-FAIR metrics group?
Thanks again for all the inputs. We'll definitely be including this in the report :+1:
Dear Sarah,
Thank you very much for your email and feedback.
With regards to your questions:
Thanks again for the comments. Looking forward to the report ☺
Best, Eleftheria Tsoupra & Emily Thomas
From: Sarah Jones notifications@github.com Reply-To: FAIR-Data-EG/consultation reply@reply.github.com Date: Sunday, 20 August 2017 at 14:39 To: FAIR-Data-EG/consultation consultation@noreply.github.com Cc: Eleftheria Tsoupra eleftheria.tsoupra@dans.knaw.nl, Mention mention@noreply.github.com Subject: Re: [FAIR-Data-EG/consultation] A proposal for assessing the FAIRness of data in Trusted Digital Repositories (#23)
Thanks for the references @etsouprahttps://github.com/etsoupra - really useful. I've seen Peter and Ingrid's webinar, but the information in your post and details of the GO-FAIR metrics group will help as we write this up.
I've just been playing around with the assessment tool and had a couple of questions about the scores applied in the Survey Routing Diagramshttps://github.com/FAIR-Data-EG/consultation/files/1237051/SurveyRoutingDiagrams.pdf:
Thanks again for all the inputs. We'll definitely be including this in the report 👍
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