Assessing quality of unstructured data - insights from a global imaging company

Anstiss, S and Marjanovic, O 2013, 'Assessing quality of unstructured data - insights from a global imaging company', in Hepu Deng and Craig Standing (ed.) ACIS 2013: Information systems: transforming the future: Proceedings of the 24th Australasian Conference on Information Systems, Melbourne, Australia, 4-6 December, 2013, pp. 1-11.


Document type: Conference Paper
Collection: Conference Papers

Title Assessing quality of unstructured data - insights from a global imaging company
Author(s) Anstiss, S
Marjanovic, O
Year 2013
Conference name 24th Australasian Conference on Information Systems (ACIS)
Conference location Melbourne, Australia
Conference dates 4-6 December, 2013
Proceedings title ACIS 2013: Information systems: transforming the future: Proceedings of the 24th Australasian Conference on Information Systems
Editor(s) Hepu Deng and Craig Standing
Publisher RMIT University
Place of publication Melbourne, Australia
Start page 1
End page 11
Abstract The main objective of this research is to understand whether or not previous Data Quality (DQ) frameworks are still applicable in today’s organisational environment characterised by a wide variety of data types, including the unstructured data. The paper describes a pilot study conducted in a global imaging company with the researchers adopting and re-examining a previously developed data quality framework, used in a number of different research studies for more than a decade. The study focuses on two research questions: Are the existing data quality frameworks developed for highly structured data, still applicable to today’s organisational environment? Do users’ perceptions of data quality change depending on data type? The paper reports on the main findings and offers some suggestions for future research.
Subjects Information and Computing Sciences not elsewhere classified
Keyword(s) Data Quality
Unstructured data
Survey
Imaging company
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