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Digging Into Data: Steer Clear of Data Collection Problems

Extend Your Learning

  • Glossary [PDF, 424KB]
    Explore a comprehensive glossary of commonly used terms for data and evaluation.
  • Annotated Bibliography [PDF, 335KB]
    Use this annotated bibliography to find some useful resources on using data. It includes links to each resource.
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    Find out why quality data is important. This resource elaborates on and gives examples for the four characteristics of quality data: relevant, timely, accurate, and complete. It discusses reliability and validity, and provides questions to consider in managing quality data.