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A Data Cleansing Strategy for Improving Data Quality of National R&D Information - Case Study of NTIS

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(6), pp.119-130
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

신성호 1 윤영준 2 양명석 2 김진만 1 손강렬 1

1한국과학기술정보연구원
2KISTI

Accredited

ABSTRACT

have effects on data quality directly. In case of building an integration database among distributed databases, defining business rule is more important because data integration needs to consider heterogeneous structure, code, and data standardization. Also data value has various figures depended on data type, unit, and transcription. Finally, database structure and data value problem have to be solved to improve data quality. For handling them, it is needed to draw database integration model and cleanse data in integrated database. NTIS(stands for National science and Technology Information Service) has an aim to serve users who need all information about national R&D by internet, and for that aim, it has a integrated database which has been made with several database sources. We prove that database integration model and data cleansing are needed to build a successful integrated database through NTIS case study.

Citation status

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