Data Verifiction

Cards (23)

  • What is verification in data management?
    A check to ensure data matches the original
  • Why are verification checks important?
    To ensure data contains as few mistakes as possible
  • How do passengers verify their data at airports?
    By showing identification when checking in
  • What does data verification confirm?
    The integrity and consistency of entered data
  • What are the two main data verification methods?
    • Double Entry
    • Proofreading
  • What is double entry in data verification?
    A method where data is entered twice for checking
  • How does double entry help in data verification?
    It identifies the majority of mistakes
  • What is a disadvantage of double entry?
    It doubles the workload and can be costly
  • What is proofreading in data verification?
    A visual check of data against the original
  • Where is proofreading commonly used?
    In pharmacies for checking prescriptions
  • What is a disadvantage of proofreading?
    It can be time-consuming and expensive
  • What are batch and hash totals used for?
    • To verify data entry in batches
    • To ensure data is entered exactly once
  • What is a batch total?
    A manual count of documents before entry
  • How does a batch total work?
    It compares manual and computer counts
  • What is a limitation of batch totals?
    It won't detect missing or duplicate data
  • What are control totals and hash totals?
    Types of batch totals for error identification
  • What is a control total?
    A meaningful total like hours worked
  • What is a hash total?
    A total with no clear meaning
  • What happens if the manually-calculated total and computer total differ?
    A mistake has been made during entry
  • What is the purpose of data validation?
    To ensure data is sensible and reasonable
  • What is a limitation of data validation and verification?
    They cannot eliminate all data entry errors
  • Why might original data contain errors?
    Because mistakes can exist in the original document
  • What should data users be aware of regarding validation and verification?
    They have limits and cannot prevent all errors