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A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective

High quality data is an important asset in numerous business and organizations. The quality of data, i.e., the ability of data to meet user requirement can have a tremendous impact in an organization to develop an astounding data quality satisfaction subsequently provide a better platform to achieve...

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Main Authors: Ruzaini, Abdullah Arshah, Mohd Zafrol, Abdullah
Format: Article
Language:English
Published: American Scientific Publisher 2018
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://umpir.ump.edu.my/id/eprint/19242/1/A%20Review%20of%20Data%20Quality%20Assessment%20Data%20Quality1.pdf
http://umpir.ump.edu.my/id/eprint/19242/
https://doi.org/10.1166/asl.2018.13025
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spelling my.ump.umpir.192422018-09-24T06:46:56Z http://umpir.ump.edu.my/id/eprint/19242/ A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective Ruzaini, Abdullah Arshah Mohd Zafrol, Abdullah QA75 Electronic computers. Computer science High quality data is an important asset in numerous business and organizations. The quality of data, i.e., the ability of data to meet user requirement can have a tremendous impact in an organization to develop an astounding data quality satisfaction subsequently provide a better platform to achieve top service in organizations. The assessment of data quality dimensions must consider the degree to which data satisfy users’ needs. Data quality assessment although multi-dimensional but identical in most of the assessment structure. Therefore, it is important to develop an assessment of data quality dimensions specifically to measure the degree of user’s satisfaction and judgement of the data to obtain a correct interpretation of data quality assessment result. This paper proposes a conceptual framework of data quality assessment from user’s perspective that draws the assessment specifically to measure user requirements and satisfactions. This framework can be evaluated and will be used to improve and extend knowledge of relationship between data quality dimensions and its assessment from user’s perspective. American Scientific Publisher 2018 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19242/1/A%20Review%20of%20Data%20Quality%20Assessment%20Data%20Quality1.pdf Ruzaini, Abdullah Arshah and Mohd Zafrol, Abdullah (2018) A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective. Advanced Science Letters, 24 (10). pp. 7824-7829. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.13025
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ruzaini, Abdullah Arshah
Mohd Zafrol, Abdullah
A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective
description High quality data is an important asset in numerous business and organizations. The quality of data, i.e., the ability of data to meet user requirement can have a tremendous impact in an organization to develop an astounding data quality satisfaction subsequently provide a better platform to achieve top service in organizations. The assessment of data quality dimensions must consider the degree to which data satisfy users’ needs. Data quality assessment although multi-dimensional but identical in most of the assessment structure. Therefore, it is important to develop an assessment of data quality dimensions specifically to measure the degree of user’s satisfaction and judgement of the data to obtain a correct interpretation of data quality assessment result. This paper proposes a conceptual framework of data quality assessment from user’s perspective that draws the assessment specifically to measure user requirements and satisfactions. This framework can be evaluated and will be used to improve and extend knowledge of relationship between data quality dimensions and its assessment from user’s perspective.
format Article
author Ruzaini, Abdullah Arshah
Mohd Zafrol, Abdullah
author_facet Ruzaini, Abdullah Arshah
Mohd Zafrol, Abdullah
author_sort Ruzaini, Abdullah Arshah
title A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective
title_short A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective
title_full A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective
title_fullStr A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective
title_full_unstemmed A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective
title_sort review of data quality assessment: data quality dimensions from user’s perspective
publisher American Scientific Publisher
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/19242/1/A%20Review%20of%20Data%20Quality%20Assessment%20Data%20Quality1.pdf
http://umpir.ump.edu.my/id/eprint/19242/
https://doi.org/10.1166/asl.2018.13025
_version_ 1643668633848643584
score 13.211869

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