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