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Table of Contents

• Documentation
• Pros and Cons
• FAIR Principles
• Example use cases

Documentation

• Technology Description

• Learn from an expert

• More Information

Pros and Cons

• Cost to setup

• Pros

• Cons

Example use cases

• Use Case

  • Use Case

FAIR Principles

• Findability - Metadata and data should be easy to find for both humans and computers.

  • F1 - (Meta)data are assigned a globally unique and persistent identifier

  • F2 - Data are described with rich metadata (defined by R1 below)

  • F3 - Metadata clearly and explicitly include the identifier of the data they describe

  • F4 - (Meta)data are registered or indexed in a searchable resource

• Accessibility - Once the user finds the required data, it should be clear how the data can be fully accessed.

  • A1 - (Meta)data are retrievable by their identifier using a standardized communications protocol

  • A1.1 - The protocol is open, free, and universally implementable

  • A1.2 - The protocol allows for an authentication and authorization procedure, where necessary

  • A2 - Metadata are accessible, even when the data are no longer available

• Interoperability - The data should easily interoperate with other data, as well as applications for analysis, storage, and processing.

  • I1 - (Meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation.

  • I2 - (Meta)data use vocabularies that follow FAIR principles

  • I3 - (Meta)data include qualified references to other (meta)data

• Reusability - Metadata and data should be well-described so that they can be replicated and/or combined in different settings.

  • R1 - (Meta)data are richly described with a plurality of accurate and relevant attributes

  • R1.1 - (Meta)data are released with a clear and accessible data usage license

  • R1.2 - (Meta)data are associated with detailed provenance

  • R1.3 - (Meta)data meet domain-relevant community standards