Authors: Ronald F. Mead; Stephen R. Kennett
Addresses: Maritime Division, Defence Science and Technology Organisation, 506 Lorimer Street, Fishermans Bend VIC 3207, Australia ' Maritime Division, Defence Science and Technology Organisation, 506 Lorimer Street, Fishermans Bend VIC 3207, Australia
Abstract: The Maritime Division (MD) of the Defence Science and Technology Organisation (DSTO), undertakes the development of platform models to support the provision of technical advice to Royal Australian Navy (RAN) acquisition projects. This requires the synthesis of different types and sources of information into the advice given. The information can include pure scientific data through to technical data from industry and may even include rules of thumb. This variation in the data source and types has led DSTO to seek methods to assess the quality of the information used in the advice they provide. In this paper, a method is presented for the selection of dimensions, their categorisation and development of a rating scale for information quality. The research does not consider database data quality issues, as these are outside the scope of the problem. A scale is developed from weighted values of 15 quality dimensions considered important for this work. The quality dimension weightings were developed using a pair-wise comparison.
Keywords: quality rating scale; information quality; pair-wise comparison; scorecard; quality assurance; technical advice; quality dimensions.
International Journal of Information Quality, 2014 Vol.3 No.3, pp.228 - 250
Available online: 31 Jul 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article