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Comparison Summary

Comparing 1 framework: FAIR Data Maturity Model: specification and guidelines

Framework Details Comparison

Field FAIR Data Maturity Model: specification and guidelines
2020
Year 2020
Title FAIR Data Maturity Model: specification and guidelines
Abstract Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness.
Objectives Develop a common set of core assessment criteria for FAIRness and help organizations determine if data resources meet required quality thresholds.
Methodology The Working Group established indicators and maturity levels.
Algorithm Used N/A (Specification/Guideline)
Top Model RDA FAIR Data Maturity Model
Accuracy N/A (Guideline)
Advantages Increases coherence and interoperability of existing FAIR assessment frameworks; provides a basis for benchmarking and improvement.7
Drawbacks N/A explicitly mentioned.
Source https://zenodo.org/records/3909563#.YGRNnq8za70
Total Criteria 5

Criteria Comparison

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Comparing 5 unique criteria across selected frameworks.
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Criterion FAIR Data Maturity Model: specification and guidelines
2020
Accessibility ✓ Included
Description: Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Definitions:
  • Quality dimension from FAIR Data Maturity Model: specification and guidelines (2020)
  • Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Findability ✓ Included
Description: Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Definitions:
  • Quality dimension from FAIR Data Maturity Model: specification and guidelines (2020)
  • Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Interoperability ✓ Included
Description: Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Definitions:
  • Quality dimension from FAIR Data Maturity Model: specification and guidelines (2020)
  • Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Metadata Consistency ✓ Included
Description: Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Definitions:
  • Quality dimension from FAIR Data Maturity Model: specification and guidelines (2020)
  • Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Reusability ✓ Included
Description: Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)
Definitions:
  • Quality dimension from FAIR Data Maturity Model: specification and guidelines (2020)
  • Establishes a common set of core assessment criteria and maturity levels for evaluating FAIRness. (2020)