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FAIR-Data-EG / consultation

A call for contributions to the report of the FAIR Data Expert Group
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FAIR metric form #25

Open micheldumontier opened 7 years ago

micheldumontier commented 7 years ago

[//]: # "==Do not write above this line== Instructions for posting issues: (1) Review what is already there. Perhaps a comment to an existing issue would be more appropriate than opening a new one? (2) Write your post below using Markdown (as per https://guides.github.com/features/mastering-markdown/ ) or just plain text. (3) Don't worry about these introductory lines - you can leave or delete them, as they won't display anyway (you can check this via Preview). (4) Hit the 'Submit new issue' button. ==Write below this line==" We have developed a form to aid in the development of FAIR metrics.

Metric Descriptor  Value
Metric Identifier  
Metric Name  
To which principle does it apply?  
What is being measured?  
Why should we measure it?  
What must be provided?  
How do we measure it?  
What is a valid result?  
For which digital resource(s) is this relevant?  
Examples of their application across types of digital resources  
Comment

This form is published on http://fairmetrics.org

dr-shorthair commented 7 years ago

Maybe https://confluence.csiro.au/display/OZNOME/Data+ratings ?

micheldumontier commented 7 years ago

that form is to devise a metric, rather than present a metric or list of metrics as in the link you gave.

band commented 7 years ago

Every measure is a length on some scale. The form is a good way to guide the work of defining practicable properties that can be measured. From my software engineering work I define a metric as having 4 properties: (1) Name (2) Description (concise) (3) Scale (what is being measured: units and uncertainty) (4) Meter (how are measurements taken)

The additions of the principle to which it applies, what digital resources to which it can be applied, and examples are critical for producing useful properties.