QUT ePrints

Perceptions of data quality dimensions and data roles

Salomone, Sonia, Hyland, Paul, & Murphy, Glen D. (2011) Perceptions of data quality dimensions and data roles. In 25th ANZAM Conference, 2011, Wellington, New Zealand.

Abstract

Several authors stress the importance of data’s crucial foundation for operational, tactical and strategic decisions (e.g., Redman 1998, Tee et al. 2007). Data provides the basis for decision making as data collection and processing is typically associated with reducing uncertainty in order to make more effective decisions (Daft and Lengel 1986). While the first series of investments of Information Systems/Information Technology (IS/IT) into organizations improved data collection, restricted computational capacity and limited processing power created challenges (Simon 1960). Fifty years on, capacity and processing problems are increasingly less relevant; in fact, the opposite exists. Determining data relevance and usefulness is complicated by increased data capture and storage capacity, as well as continual improvements in information processing capability. As the IT landscape changes, businesses are inundated with ever-increasing volumes of data from both internal and external sources available on both an ad-hoc and real-time basis. More data, however, does not necessarily translate into more effective and efficient organizations, nor does it increase the likelihood of better or timelier decisions. This raises questions about what data managers require to assist their decision making processes.

Impact and interest:

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

173 since deposited on 11 Jan 2012
46 in the past twelve months

Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 48014
Item Type: Conference Paper
Keywords: Data Quality Dimensions, Data Roles, Information Technology
ISBN: 9781877040870
Subjects: Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > BUSINESS AND MANAGEMENT (150300) > Business Information Systems (150302)
Divisions: Current > QUT Faculties and Divisions > QUT Business School
Current > Schools > School of Management
Copyright Owner: Copyright 2011 The authors
Copyright Statement: Please note that the copyright of the conference proceedings belongs to ANZAM, but the copyright of the individual papers belongs to the authors."
Deposited On: 12 Jan 2012 08:07
Last Modified: 13 Jan 2012 23:06

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page