band
commented
7 years ago Marshall, this is a good idea. I think there is a straightforward way to define measurable properties for each principle, treating each as a system requirement. The work will be in agreeing on measurements that are practicable for both data contributions and data repository operations. Much of the high-level context conversation re FAIR-ness seems to be settled (for now).
See my comment on Issue 5: https://github.com/FAIR-Data-EG/consultation/issues
On Jun 12, 2017, at 4:47 PM, Marshall.Ma notifications@github.com wrote:
I have a naive idea about a rose diagram of FAIRmetrics on the profile of each published dataset. The idea is derived from the Altermetrics that is widely used for scientific publications now.
A rose diagram with a overall data quality value can be very transparent and attractive on the profile of a dataset. The challenge, as already mentioned by a few colleagues, is methods to do the quantitative estimation of the four elements in FAIR. Altermetrics uses datasets from social media to estimate the impact of a publication. For the elements of findability, accessibility, interoperability and reusability, there could be some automated ways to get records if the dataset has a unique identifier such as DOI or URI. Still, we need to carefully design a model and a mechanism to evaluate each item in FAIR, and then generate a overall score.
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A rose diagram with a overall data quality value can be very transparent and attractive on the profile of a dataset. The challenge, as already mentioned by a few colleagues, is methods to do the quantitative estimation of the four elements in FAIR. Altermetrics uses datasets from social media to estimate the impact of a publication. For the elements of findability, accessibility, interoperability and reusability, there could be some automated ways to get records if the dataset has a unique identifier such as DOI or URI. Still, we need to carefully design a model and a mechanism to evaluate each item in FAIR, and then generate a overall score.