FAIRify-23andme

A project developed in the Bio-IT FAIR Data Hackathon

Self-evaluation

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.

Findable

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:

Accessible

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:

Interoperable

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:

Reusable

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: