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New framework simplifies data quality analysis for domain experts

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework called the Quality Pattern Model (QPM) to help domain experts define data quality analyses without needing deep technical expertise. QPM uses technology-independent query templates, simplifying the process and preventing the need to redefine analyses for different database technologies. A proof-of-concept implementation demonstrated QPM's expressiveness and usability across XML, RDF, and Neo4j databases, showing that domain experts can independently create template-based quality analyses. AI

IMPACT Simplifies data quality management for domain experts, potentially increasing the adoption of data-driven insights.

RANK_REASON Academic paper introducing a new framework for data quality analysis. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework simplifies data quality analysis for domain experts

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Academic paper introducing a new framework for data quality analysis. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Gabriele Taentzer ·

    Domain-Specific Data Quality Analysis Using Technology-Independent Query Templates

    In an increasingly data-driven world, effectively working with data depends heavily on its quality. Quality analysis is a central aspect of data quality management. As data quality is typically domain- and context-specific, the definition of quality requirements is primarily the …

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