• DocumentCode
    1802795
  • Title

    DQ Tags and Decision-Making

  • Author

    Price, Rosanne ; Shanks, Graeme

  • Author_Institution
    Dept. of Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2010
  • fDate
    5-8 Jan. 2010
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    There has been some evidence that decision outcomes can be impacted by providing metadata about the quality of the data used in a decision, but there is no agreement on the specific context in which such impact is observed. Furthermore, there has been little emphasis on the semantics and usability of such metadata in research to date, with consequent implications for experimental soundness. In this paper, we describe how these issues are addressed through the novel application, respectively, of the information quality framework InfoQual and the interaction design technique of contextual inquiry to the experimental design. In distinct contrast to previous studies, there was evidence that including data quality metadata can significantly increase decision time and may reduce consensus even though decision choice is not changed.
  • Keywords
    data handling; decision making; decision support systems; meta data; DQ tags; data quality metadata; decision-making; experimental design; information quality framework InfoQual; interaction design technique; metadata; Costs; Data warehouses; Decision making; Design for experiments; Information systems; Production; Size control; Tagging; Usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2010 43rd Hawaii International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-1-4244-5509-6
  • Electronic_ISBN
    1530-1605
  • Type

    conf

  • DOI
    10.1109/HICSS.2010.159
  • Filename
    5428523