Everything About ___
Live briefing

Everything about Data quality

State of qualitative or quantitative pieces of information

Data quality refers to the condition of data based on factors such as accuracy, completeness, consistency, reliability, and whether it is fit for its intended purpose. There are many definitions of data quality, but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Data is deemed of high quality if it correctly represents the real-world construct to which it refers. Apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Data qualityA 5-minute orientation
  2. Skim a recent paper: Ultrafast one‐pass FASTQ data preprocessing, quality control, and deduplication using fastpInfluential work since 2022
  3. Pick up a classic book: The health care data guideThe most-reprinted book on the subject
  4. Read the landmark paper: Data quality assessmentCited 1,119 times
  5. Go sideways: AuditA closely related topic
  6. Go sideways: Corporate governance of information technologyA closely related topic

📖 Definitions

Noun The state of qualitative or quantitative pieces of information, usually described in aspects of completeness, conformity, consistency, accuracy, and integrity.

🗂️ The subject at a glance

  1. Definitions
  2. Dimensions of data quality
  3. International standards for data quality
  4. History
  5. Overview
  6. Data quality assurance
  7. Data quality control
  8. Optimum use of data quality
  9. Data quality in public health
  10. Open data quality
  11. Professional associations

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics