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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Appendix: Acknowledgments

PreviousAppendix: Data Quality Metrics

Last updated 5 years ago

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This guide relied heavily on two sources:

  • Stephanie Singer's (google doc), funded by the Knight Foundation. Thank you for your insightful feedback and for providing such a wonderful and rich resource as we muddle our way down the data quality path!

  • by Danette McGilvray. This book is a treasure in a world without a lot of concrete advice.

The following people gave great feedback that helped improve this guide:

  • Andrew Nicklin, Johns Hopkins University Center for Government Excellence

  • Blake Valenta, Data Fellow, DataSF & Harvard's DataSmart

  • Janine Heiser, Open Data Services Engineer, DataSF

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