Data Quality and Integrity

Start with quality checks

Begin with the Data Quality Assurance flashcards to get familiar with quality control and quality assurance. The deck covers single-field, inter-field and multi-record edits, as well as completeness. Work through the terms, then return to any cards you want to study again.

Next, look at the flowchart on data quality dimensions. Its labels include accuracy, consistency, completeness, uniqueness and timeliness. Use it alongside the flashcards to compare the checks in the deck with the dimensions in the chart.

Follow the process

The Methodology of BR4DQ mind map sets out phases of a methodology for evaluating data quality. It includes a purpose and inputs such as business process and system documentation. After looking at the quality dimensions, use the map to follow how the methodology is organized.

The Data Quality mind map brings together project planning, team building, reviewing data architecture and business processes, assessing quality, cleaning data and monitoring. A separate mind map on a data quality cleaning project covers knowledge discovery, domain management and matching policy.

Connect quality and integrity

For the integrity side of the topic, read the notes on maintaining data integrity. Then look at the mind map covering data collection, processing, archives and reports. It also includes access restrictions and storage. Compare the notes with the map to see how each resource organizes its material.

This topic is part of Data Management and Governance in Databases and data science. Use the resources here to focus on quality and integrity within that unit.

Check your understanding

Try a quiz after studying a flashcard deck or map. Use your answers to decide which terms or steps to look over again. Then revisit a map and follow its branches without relying on the flashcards. Pick a quiz and use it alongside a map for your next study session.