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Data quality

Known as: DQ, Data quality assurance, Data quality control 
Data quality refers to the level of quality of data. There are many definitions of data quality but data are generally considered high quality if… 
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Related topics

Related topics

33 relations
Bounds checkingBusiness rules engineComputer data storageCorrectness (computer science)

Broader (1)

Information science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2015
Review
2015
The Challenges of Data Quality and Data Quality Assessment in the Big Data Era
High-quality data are the precondition for analyzing and using big data and for guaranteeing the value of the data. Currently… 
Highly Cited
2009
Highly Cited
2009
Methodologies for data quality assessment and improvement
The literature provides a wide range of techniques to assess and improve the quality of data. Due to the diversity and complexity… 
Highly Cited
2008
Highly Cited
2008
Get another label? improving data quality and data mining using multiple, noisy labelers
This paper addresses the repeated acquisition of labels for data items when the labeling is imperfect. We examine the improvement… 
Highly Cited
2004
Highly Cited
2004
Post-Field Data Quality Control
This Chapter summarizes the steps of quality assurance and quality control of flux measurements with the eddy covariance method… 
Highly Cited
2002
Highly Cited
2002
Data quality assessment
How good is a company's data quality? Answering this question requires usable data quality metrics. Currently, most data quality… 
Review
2000
Review
2000
Data Quality
Data Quality provides an expos of research and practice in the data quality field for technically oriented readers. It is based… 
Highly Cited
1997
Highly Cited
1997
Data quality in context
ATA-QUALITY (DQ) PROBLEMS ARE INCREASINGLY EVIdent, particularly in organizational databases. Indeed, 50% to 80% of computerized… 
Review
1996
Review
1996
Beyond Accuracy: What Data Quality Means to Data Consumers
Poor data quality (DQ) can have substantial social and economic impacts. Although firms are improving data quality with practical… 
Review
1996
Review
1996
Anchoring data quality dimensions in ontological foundations
of an organization. A leading computer industry information service firm indicated that it “expects most business process… 
Highly Cited
1996
Highly Cited
1996
Data quality for the information age
From the Publisher: Written by the inventor of many modern techniques for data quality, this comprehensive book provides… 
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