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[![Gitter](https://badges.gitter.im/bioithackathons/project-3.svg)](https://gitter.im/bioithackathons/project-3)
A project developed in the Bio-IT FAIR Data Hackathon
## Self-evaluation
How well does FMI Pediatrics Oncology 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:
* After:
> F2. data are described with rich metadata (defined by R1 below)
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> F3. metadata clearly and explicitly include the identifier of the data it describes
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> F4. (meta)data are registered or indexed in a searchable resource
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### Accessible
> A1. (meta)data are retrievable by their identifier using a standardized communications protocol
* Before:
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> A1.1 the protocol is open, free, and universally implementable
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> A1.2 the protocol allows for an authentication and authorization procedure, where necessary
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> A2. metadata are accessible, even when the data are no longer available
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### Interoperable
> I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.
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> I2. (meta)data use vocabularies that follow FAIR principles
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> I3. (meta)data include qualified references to other (meta)data
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### Reusable
> R1. meta(data) are richly described with a plurality of accurate and relevant attributes
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> R1.1. (meta)data are released with a clear and accessible data usage license
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> R1.2. (meta)data are associated with detailed provenance
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> R1.3. (meta)data meet domain-relevant community standards
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