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Capture Data Quality

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  1. Session 9 – Data Capture: Process Stages UNSD-ESCWA Regional Workshop on Census Data Processing in the ESCWA region Doha, State of Qatar, 18-22 May 2008 Capture Data Quality Fred Highland Census Practice Architect Lockheed Martin Transportation & Security Solutions

  2. Objective of a Population Census “ … count everyone, count them once only, and count them in the right place… ” Preston Jay Waite (US Census Bureau)

  3. A Comprehensive View • It’s not just about paper – multi-channel data collection • Telephone • Voice capture accuracy (Service Quality v Data Quality) • Internet • Self capture – no capture accuracy or image quality issues • Inventory Control, Processing Integrity issues • Field Hand-held device • Similar to internet • Admin Records (not addressed here) • Similar to internet • Data validation • Many issues with linkage/coherence • A Comprehensive view must embrace all aspects and all channels

  4. A Comprehensive View

  5. Delivery System Entry Storage Processing Disposition Inventory Control “Ensuring that questionnaires are accurately accounted for and managed” • Accurate capture of data is irrelevant if you lose the questionnaire

  6. Questionnaire Pages Pages Pages Person 1 Household Person 2 Person n Item 1 Item 2 Item 1 Item n Item 2 Item n Questionnaire Integrity “Ensuring that the questionnaire and its component parts are kept together for the complete process” • Maintain the linkage of a questionnaire to its components • Pages/sheets (paper) • Household • Persons • Response items • Prevent mixing of data between questionnaires

  7. Image Quality • What is image quality? • Qualitative not Quantitative • Capture of faithful images that are “fit for purpose” • This is subjective • No agreed-to measure exists ! • Operational definition • Images are of sufficient resolution for processing • Images represent the complete original document • Images are free of artefacts introduced by processing • Questionnaires must be represented as digital images for: • Automatic recognition (e.g. OCR, OMR) • Keying • Other image assisted functions (e.g. Coding) • Archive • Capture of high quality images is critical !

  8. Processing Integrity “Ensure all responses are processed in the proper sequence, priority and completely through all appropriate steps” • Complicating factors • Multiple response modes • Paper, internet, telephone and hand-held device • Quantity of questionnaires • US - 140,000,000 • UK - 30,000,000 • Canada – 13,500,000 • Processing deadlines • Non-response follow-up • Census Coverage Survey (CCS) • Large number of processing steps….

  9. Code Edit ASCII ASCII w/codes Data Capture Accuracy - Paper “Capture all of the data accurately, regardless of source and be able to assess and manage the accuracy” Questionnaire Scan 80% OCR 20% Image ASCII Keying 0.2% OMR 99.8%

  10. Summary A comprehensive approach to quality must consider more than just data capture issues…. • Inventory Control • Questionnaire Integrity • Image Quality • Processing Integrity • Data Capture Accuracy … while ensuring accuracy and value for money A comprehensive approach identifies issues early and enables timely corrective actions. It requires an operational focus on data quality.

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