The data quality methodology information is organized by analytical function and provides in-depth knowledge and best practices for your data quality strategy.

Production of high quality statistics depends on the assessment of data quality. Without a systematic assessment of data quality, the statistical office will risk to lose control of the...

Comprehensive guide to Data Quality Management, covering strategies, tools, and best practices for ensuring accurate, reliable data for improved decision-making

We searched three information databases namely PubMed, Web of Science, and Scopus for articles published up to November 11, 2024, that discussed dimensions, methods and …

Your research context - the field of research, the research method and the research question - will affect how you assess the quality of your data and whether your data is fit for purpose. There …

Jun 9, 2025 · Discover how modern data teams can define, measure, and improve data quality across the stack. This guide covers key dimensions, practical metrics, common pitfalls, and …

Jun 11, 2025 · Data stewardship, on the other hand, involves the day-to-day management of data, including data quality, data lineage, and data metadata. Effective data governance and data …

We sketch the general methodology for both of these views on the man-agement of data quality and list common methodologies. Finally, we pro-vide a number of open problems and …

Nov 13, 2025 · What is Data Quality? Data quality is a measure of data’s fitness for purpose. It covers many different quantitative and qualitative properties including: Completeness Internal …

Nov 11, 2025 · What a DQAP is A data quality action plan (DQAP) is a systematic approach for enhancing and sustaining the quality of data in your organisation. It involves: identifying critical …