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
Link To Document :
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