articleData Science JournalMay 22, 2015GOLD OA

The Challenges of Data Quality and Data Quality Assessment in the Big Data Era

Fudan University · Yunnan University

Indexed incrossrefdoaj

Abstract

High-quality data are the precondition for analyzing and using big data and for guaranteeing the value of the data. Currently, comprehensive analysis and research of quality standards and quality assessment methods for big data are lacking. First, this paper summarizes reviews of data quality research. Second, this paper analyzes the data characteristics of the big data environment, presents quality challenges faced by big data, and formulates a hierarchical data quality framework from the perspective of data users. This framework consists of big data quality dimensions, quality characteristics, and quality indexes. Finally, on the basis of this framework, this paper constructs a dynamic assessment process for…

Citation impact

1,000
total citations
FWCI
52.26
Percentile
100%
References
40
Citations per year

Authors

2

Topics & keywords

Keywords
  • Big data
  • Data quality
  • Computer science
  • Quality (philosophy)
  • Data science
  • Scope (computer science)
  • Data governance
  • Process (computing)
No related works found for this paper.

Funding