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  • Metadata
  • PID: Permanent Identifier
  • GUID: Globally Unique Identifier
  • Ontology
  • Provenance
  • License
  • Search Index
  • Access protocol

FAIR Principles

In 2016, the |FAIR Guiding Principles|_ for scientific data management and stewardship were published in Scientific Data. Read it. Its short.

  • 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 it describes
  • F4. (meta)data are registered or indexed in a searchable resource
  • 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
  • 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
  • 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 standard

CARE Principles

The CARE principles for Indigenous Data Governance were drafted at the International Data Week and Research Data Alliance Plenary co-hosted event “Indigenous Data Sovereignty Principles for the Governance of Indigenous Data Workshop,” 8 November 2018, Gaborone, Botswana.

Collective Benefit
  • C1. For inclusive development and innovation
  • C2. For improved governance and citizen engagement
  • C3. For equitable outcomes
Authority to Control
  • A1. Recognizing rights and interests
  • A2. Data for governance
  • A3. Governance of data
  • R1. For positive relationships
  • R2. For expanding capability and capacity
  • R3. For Indigenous languages and worldviews
  • E1. For minimizing harm and maximizing benefit
  • E2. For justice
  • E3. For future use


Traceable, Licensed, and Connected


Which do you think is the hardest, F, A, I, or R, and why?


What is the best way to cite data?


What are the relative values of a data publication verus a peer-reviewed paper?


What role do ontologies play in FAIR-TLC?

Hands on Exercise - Metadata in CyVerse

  • example 1: imeta add -C B123 test_metadata value unit
  • example 2: imeta add -d B123/0123.txt test_metadata value unit

References and Resources

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