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Biodiversity Information Science and Standards 4: e50889
https://doi.org/10.3897/biss.4.50889 (20 Mar 2020)
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  • 1. Introduction
  • 2. Background
  • 3. A Fitness for Use Framework
    • 3.1. Data Quality Profiling
    • 3.2. Data Quality Solutions
    • 3.3. Data Quality Reporting
      • 3.3.1 Context
      • 3.3.2 Data resource
  • 4. Collecting User Stories that lead to Data Quality Profiles
    • 4.1 Use Case Selection
    • 4.2 Mapping the Data Collected to the Use Case Library
    • 4.3 Use Case Library Analysis
    • 4.4 Quality and Area of Interest
    • 4.5 Criteria
    • 4.6 Information Elements
    • 4.7 Dimensions
  • 5. Data Quality Tests and Assertions: a Data Quality Solutions Library
    • 5.1 Context for the Tests and Assertions
    • 5.2 Test Descriptions and Parameters
    • 5.3 Test Types
    • 5.4 Implementation
  • 6. Case Studies - Validating Date Fields using Core Tests and Assertions
    • 6.1 Developing Date tests in the Kurator project
    • 6.2 Java Case Study
    • 6.3 SQL Case Study
  • 7. Developing Controlled Vocabularies of Values
  • 8. Discussion: global implications and future directions
  • 9. Conclusion
  • Acknowledgements
  • References
  • Supplementary files
  • Endnotes
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