• About This Toolkit
    • Why This Toolkit is Needed
    • About the SGIG Data Project
    • How To Use This Toolkit
    • Acknowledgements
  • Getting Started
    • What are Data Governance and Management?
    • Indigenous Approaches to Data and Evaluation
    • Introduction to Information Governance and Management
    • Self-Assessment: Where Are You Now?
    • First Steps: Visioning and Mapping a Path Forward
  • Data
    Governance
    • Your Data Governance Framework
    • Legislation & the Duty of Privacy Protection
    • Contracts & Agreements
    • Data Sharing
    • Standards & Best Practices
  • Data
    Management
    • The Data Lifecycle
    • Information Technology (IT) Systems
    • Data Quality
    • Data Storage, Backup, and Preservation
    • Data Security and Privacy
  • Acquiring &
    Working with Data
    • Key Steps in Acquiring and Working with Data
    • Designing Indicators and Tracking Change
    • External Data Sources
    • Internal Data Sources and Primary Data Collection
    • Data Analysis
    • Using Data: Learning and Reporting
  • Building Capacity
    • Staffing
    • Training
    • Capacity Supports
    • Working with Researchers
    • Change Management
  • About This Toolkit
    • Why This Toolkit is Needed
    • About the SGIG Data Project
    • How To Use This Toolkit
    • Acknowledgements
  • Getting Started
    • What are Data Governance and Management?
    • Indigenous Approaches to Data and Evaluation
    • Introduction to Information Governance and Management
    • Self-Assessment: Where Are You Now?
    • First Steps: Visioning and Mapping a Path Forward
  • Data
    Governance
    • Your Data Governance Framework
    • Legislation & the Duty of Privacy Protection
    • Contracts & Agreements
    • Data Sharing
    • Standards & Best Practices
  • Data
    Management
    • The Data Lifecycle
    • Information Technology (IT) Systems
    • Data Quality
    • Data Storage, Backup, and Preservation
    • Data Security and Privacy
  • Acquiring &
    Working with Data
    • Key Steps in Acquiring and Working with Data
    • Designing Indicators and Tracking Change
    • External Data Sources
    • Internal Data Sources and Primary Data Collection
    • Data Analysis
    • Using Data: Learning and Reporting
  • Building Capacity
    • Staffing
    • Training
    • Capacity Supports
    • Working with Researchers
    • Change Management

Data Quality

Covers key factors in the quality of a dataset, documentation of metadata, data system quality, quality assurance, and data entry best practices.

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