mlsanityData to 14 Oct 2026

Use of Context in Data Quality Management: a Systematic Literature Review

arXiv 2204.10655 ↗First posted 22 Apr 2022cs.DBcited by 3

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Abstract (arXiv)

The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as textitfitness for use and showed the influence of context on DQ. This paper presents a Systematic Literature Review (SLR) for investigating how context is taken into account in recent proposals for DQ management. We specifically present the planning and execution of the SLR, the analysis criteria and our results reflecting the relationship between context and DQ in the state of the art and, particularly, how that context is defined and used for DQ management.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Apr 2022.

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Citing papers per year: 2024: 1; 2025: 1; 2026: 1.

3 papers.