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Data quality: a survey of data quality dimensions


Sidi, Fatimah and Panahy, Payam Hassany Shariat and Affendey, Lilly Suriani and A. Jabar, Marzanah and Ibrahim, Hamidah and Mustapha, Aida (2012) Data quality: a survey of data quality dimensions. In: 2012 International Conference on Information Retrieval & Knowledge Management (CAMP'12), 13-15 Mar. 2012, Kuala Lumpur, Malaysia. (pp. 300-304).


Nowadays, activities and decisions making in an organization is based on data and information obtained from data analysis, which provides various services for constructing reliable and accurate process. As data are significant resources in all organizations the quality of data is critical for managers and operating processes to identify related performance issues. Moreover, high quality data can increase opportunity for achieving top services in an organization. However, identifying various aspects of data quality from definition, dimensions, types, strategies, techniques are essential to equip methods and processes for improving data. This paper focuses on systematic review of data quality dimensions in order to use at proposed framework which combining data mining and statistical techniques to measure dependencies among dimensions and illustrate how extracting knowledge can increase process quality.

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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.1109/InfRKM.2012.6204995
Publisher: IEEE
Keywords: Data quality; Data quality dimensions; Types of data
Depositing User: Nabilah Mustapa
Date Deposited: 09 May 2019 03:35
Last Modified: 09 May 2019 03:35
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/InfRKM.2012.6204995
URI: http://psasir.upm.edu.my/id/eprint/68168
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