• DocumentCode
    683941
  • Title

    Research on metadata-driven data quality assessment architecture

  • Author

    Huang, Gang ; Wu, Xiuying ; Yuan, Man

  • Author_Institution
    School of Computer & Information Technology, Northeast Petroleum University, Daqing City 163318, Heilongjiang, China
  • fYear
    2013
  • fDate
    23-25 March 2013
  • Firstpage
    419
  • Lastpage
    422
  • Abstract
    So far there have never been systematic evaluation criteria and entire assessment and evaluation system in Data quality internationally. Based on the research on the relative content of both international and domestic data quality, this article analyzes the requests of data quality for the large enterprises. First of all, this paper raises and builds a complete data quality assessment system. Second, the definitions and specific algorithms of data quality assessment indicators and poses data quality analysis are built to evaluate the architecture and processes. A frame structure of data quality meta-model is presented in this paper. In addition, this paper also designs an evaluation system. This system includes the classification and definition of data quality and the algorithm in evaluation index and the system and process of data quality evaluation. This paper provides credibility basis for enterprises in evaluation of data quality.
  • Keywords
    Accuracy; Algorithm design and analysis; Computers; Data models; Educational institutions; Indexes; Quality assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Technology (ICIST), 2013 International Conference on
  • Conference_Location
    Yangzhou
  • Print_ISBN
    978-1-4673-5137-9
  • Type

    conf

  • DOI
    10.1109/ICIST.2013.6747581
  • Filename
    6747581