A project developed in the Bio-IT FAIR Data Hackathon
How well does 23andme data align with FAIR data principles?
For each of the 15 FAIR principles, rate your dataset before and after your hackathon work. A rating of "1" is least FAIR; "5" is most FAIR.
F1. (meta)data are assigned a globally unique and persistent identifier
- Before: 3
- not for all the variants
- After: 5
F2. data are described with rich metadata (defined by R1 below)
- Before: 1
- After: 5
F3. metadata clearly and explicitly include the identifier of the data it describes
- Before: 1
- After: 4
F4. (meta)data are registered or indexed in a searchable resource
- Before: 1
- After: 4
- Comment:
A1. (meta)data are retrievable by their identifier using a standardized communications protocol
- Before: 1
- After: 4
- Comment:
A1.1 the protocol is open, free, and universally implementable
- Before: 1
- After: 5
- Comment:
A1.2 the protocol allows for an authentication and authorization procedure, where necessary
- Before: 1
- After: 3
- Comment:
A2. metadata are accessible, even when the data are no longer available
- Before: 1
- After: 4
- Comment:
I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
- Before: 3
- After: 5
- Comment:
I2. (meta)data use vocabularies that follow FAIR principles
- Before: 3
- After: 5
- Comment:
I3. (meta)data include qualified references to other (meta)data
- Before: 1
- After: 5
- Comment:
R1. meta(data) are richly described with a plurality of accurate and relevant attributes
- Before: 1
- After: 4
- Comment:
R1.1. (meta)data are released with a clear and accessible data usage license
- Before: 1
- After: 4
- Comment:
R1.2. (meta)data are associated with detailed provenance
- Before: 1
- After: 4
- Comment:
R1.3. (meta)data meet domain-relevant community standards
- Before: 1
- After: 4
- Comment: