Context-based Data Quality Metrics in Data Warehouse Systems
The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in researc...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Centro Latinoamericano de Estudios en Informática
2017-08-01
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Series: | CLEI Electronic Journal |
Online Access: | http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/22 |
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author | Flavia Serra Adriana Marotta |
author_facet | Flavia Serra Adriana Marotta |
author_sort | Flavia Serra |
collection | DOAJ |
description | The fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry. DQ in this kind of systems becomes essential. This work presents a proposal for identifying DQ problems in the domain of DWS, considering the different contexts that exist in each system component. This proposal may act as a first conceptual framework that guides the DQ-responsible in the management of DQ in DWS. The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through context-based DQ metrics. |
first_indexed | 2024-12-10T04:41:11Z |
format | Article |
id | doaj.art-a80e802fd5ed4e6abfa082ba5fe83b62 |
institution | Directory Open Access Journal |
issn | 0717-5000 |
language | English |
last_indexed | 2024-12-10T04:41:11Z |
publishDate | 2017-08-01 |
publisher | Centro Latinoamericano de Estudios en Informática |
record_format | Article |
series | CLEI Electronic Journal |
spelling | doaj.art-a80e802fd5ed4e6abfa082ba5fe83b622022-12-22T02:01:53ZengCentro Latinoamericano de Estudios en InformáticaCLEI Electronic Journal0717-50002017-08-012023:13:2310.19153/cleiej.20.2.322Context-based Data Quality Metrics in Data Warehouse SystemsFlavia SerraAdriana MarottaThe fact that Data Quality (DQ) depends on the context, in which data are produced, stored and used, is widely recognized in the research community. Data Warehouse Systems (DWS), whose main goal is to give support to decision making based on data, have had a huge growth in the last years, in research and industry. DQ in this kind of systems becomes essential. This work presents a proposal for identifying DQ problems in the domain of DWS, considering the different contexts that exist in each system component. This proposal may act as a first conceptual framework that guides the DQ-responsible in the management of DQ in DWS. The main contributions of this work are a thorough literature review about how contexts are used for evaluating DQ in DWS, and a proposal for assessing DQ in DWS through context-based DQ metrics.http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/22 |
spellingShingle | Flavia Serra Adriana Marotta Context-based Data Quality Metrics in Data Warehouse Systems CLEI Electronic Journal |
title | Context-based Data Quality Metrics in Data Warehouse Systems |
title_full | Context-based Data Quality Metrics in Data Warehouse Systems |
title_fullStr | Context-based Data Quality Metrics in Data Warehouse Systems |
title_full_unstemmed | Context-based Data Quality Metrics in Data Warehouse Systems |
title_short | Context-based Data Quality Metrics in Data Warehouse Systems |
title_sort | context based data quality metrics in data warehouse systems |
url | http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/22 |
work_keys_str_mv | AT flaviaserra contextbaseddataqualitymetricsindatawarehousesystems AT adrianamarotta contextbaseddataqualitymetricsindatawarehousesystems |