A framework to construct data quality dimensions relationships
Data and information obtained from data analysis is an essential asset to construct and support information systems. As data is a significant resource, the quality of data is critical to enhance data quality and increase the effectiveness of business processes. Relationships among all four major dat...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Indian Society for Education and Environment
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/30582/1/A%20framework%20to%20construct%20data%20quality%20dimensions%20relationships.pdf |
| _version_ | 1796971770150912000 |
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| author | Panahy, Payam Hassany Shariat Sidi, Fatimah Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida |
| author_facet | Panahy, Payam Hassany Shariat Sidi, Fatimah Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida |
| author_sort | Panahy, Payam Hassany Shariat |
| collection | UPM |
| description | Data and information obtained from data analysis is an essential asset to construct and support information systems. As data is a significant resource, the quality of data is critical to enhance data quality and increase the effectiveness of business processes. Relationships among all four major data quality dimensions for process improvement are often neglected. For this reason, this study proposes to construct a reliable framework to support process activities in information systems. This study focuses on four critical quality dimensions; accuracy, completeness, consistency, and timeliness. A qualitative approach was conducted using a questionnaire and the responses were assessed to measure reliability and validity of the survey. Factor analysis and Cronbach-alpha test were applied to interpret the results. The results show that the items of each data quality dimension and improvement process are reliable and valid. This framework can be used to evaluate data quality in an information system to improve the involved process. |
| first_indexed | 2024-03-06T08:18:00Z |
| format | Article |
| id | upm.eprints-30582 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:18:00Z |
| publishDate | 2013 |
| publisher | Indian Society for Education and Environment |
| record_format | dspace |
| spelling | upm.eprints-305822015-10-28T03:31:36Z http://psasir.upm.edu.my/id/eprint/30582/ A framework to construct data quality dimensions relationships Panahy, Payam Hassany Shariat Sidi, Fatimah Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida Data and information obtained from data analysis is an essential asset to construct and support information systems. As data is a significant resource, the quality of data is critical to enhance data quality and increase the effectiveness of business processes. Relationships among all four major data quality dimensions for process improvement are often neglected. For this reason, this study proposes to construct a reliable framework to support process activities in information systems. This study focuses on four critical quality dimensions; accuracy, completeness, consistency, and timeliness. A qualitative approach was conducted using a questionnaire and the responses were assessed to measure reliability and validity of the survey. Factor analysis and Cronbach-alpha test were applied to interpret the results. The results show that the items of each data quality dimension and improvement process are reliable and valid. This framework can be used to evaluate data quality in an information system to improve the involved process. Indian Society for Education and Environment 2013-05 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30582/1/A%20framework%20to%20construct%20data%20quality%20dimensions%20relationships.pdf Panahy, Payam Hassany Shariat and Sidi, Fatimah and Affendey, Lilly Suriani and A. Jabar, Marzanah and Ibrahim, Hamidah and Mustapha, Aida (2013) A framework to construct data quality dimensions relationships. Indian Journal of Science and Technology, 6 (5). pp. 4422-4431. ISSN 0974-6846; ESSN: 0974-5645 http://www.indjst.org/index.php/indjst/article/view/33242 10.17485/ijst/2013/v6i5/33242 |
| spellingShingle | Panahy, Payam Hassany Shariat Sidi, Fatimah Affendey, Lilly Suriani A. Jabar, Marzanah Ibrahim, Hamidah Mustapha, Aida A framework to construct data quality dimensions relationships |
| title | A framework to construct data quality dimensions relationships |
| title_full | A framework to construct data quality dimensions relationships |
| title_fullStr | A framework to construct data quality dimensions relationships |
| title_full_unstemmed | A framework to construct data quality dimensions relationships |
| title_short | A framework to construct data quality dimensions relationships |
| title_sort | framework to construct data quality dimensions relationships |
| url | http://psasir.upm.edu.my/id/eprint/30582/1/A%20framework%20to%20construct%20data%20quality%20dimensions%20relationships.pdf |
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