DataSF Guides: How to Ensure Quality Data
  • Introduction
  • Data Lifecycle
  • Roles and Responsibilities
  • How To: Plan and Define Phase
    • Step 1: Collect Needs and Requirements
    • Step 2: Define the Dataset
    • Step 3: Define Policies and Processes
  • Appendix: Data Quality Metrics
  • Appendix: Acknowledgments
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Data Lifecycle

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Last updated 5 years ago

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To ensure quality data, you need to manage data throughout its lifecycle. In this guidebook, we reference the data lifecycle below [1]. This guidebook supports the "Plan and Define" phase.

  • Plan and Define. How you define the purpose, needs and requirements of the data. How you define the data model and supporting policies and processes.

  • Obtain. How you create, collect or get the data.

  • Maintain. How you store, change and track the data.

  • Access and Use. How you share the data. How people use the data.

  • Dispose. How you delete the data.

Footnotes

[1] Modified from , McGilvray.

Executing Data Quality Projects