Data Quality and Management
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Scope of this subject
This cluster of papers focuses on data quality assessment, improvement, and related techniques such as record linkage, data cleaning, entity resolution, information quality benchmarks, and privacy-preserving record linkage. It also covers topics like name disambiguation, data integration, and the challenges of data quality in the era of big data.
OpenAlex generated this cluster description with an LLM. It describes research grouping, not verified findings.
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Research vocabulary
data cleaning; data linkage; entity resolution; data deduplication; data quality management; duplicate detection; master data management; probabilistic record linkage; data quality improvement; data quality metrics; data quality dimensions; data profiling; duplicate records; data matching; record matching; dirty data; data quality measurement; record deduplication; privacy-preserving record linkage; name matching; data quality framework; data quality issues; author name disambiguation; name disambiguation; OpenRefine
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OpenAlex topic record · Works associated with this topic
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Local answer status
No owner-reviewed answer has been published for this exact subject page. This is a gap in this collection; it does not establish that the answer is unavailable elsewhere.
Numeric address and provenance
Morton address: 36183057346218236 · morton4x16-v1
Coordinates: (2, 18, 1803, 11719). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
Structured subject record · Markdown · Source snapshots and licenses
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