Essec\Faculty\Model\Contribution {#2216
#_index: "academ_contributions"
#_id: "4501"
#_source: array:26 [
"id" => "4501"
"slug" => "data-quality-through-conceptual-model-quality-reconciling-researchers-and-practioners-through-a-customizable-quality-model"
"yearMonth" => "2009-01"
"year" => "2009"
"title" => "Data Quality Through Conceptual Model Quality - Reconciling Researchers and Practioners Through A Customizable Quality Model"
"description" => "MEHMOOD, K., SI-SAID CHERFI, S. et COMYN-WATTIAU, I. (2009). Data Quality Through Conceptual Model Quality - Reconciling Researchers and Practioners Through A Customizable Quality Model. Dans: <i>Proceedings of the 14th International Conference on Information Quality</i>. Hasso Plattner Institute."
"authors" => array:3 [
0 => array:3 [
"name" => "COMYN-WATTIAU Isabelle"
"bid" => "B00000530"
"slug" => "wattiau-isabelle"
]
1 => array:1 [
"name" => "MEHMOOD K."
]
2 => array:1 [
"name" => "SI-SAID CHERFI S."
]
]
"ouvrage" => "Proceedings of the 14th International Conference on Information Quality"
"keywords" => array:6 [
0 => "Cadre de qualité"
1 => "Critère de qualité"
2 => "Evaluation de la qualité"
3 => "Métrique de qualité"
4 => "Qualité des données"
5 => "Qualité des modèles conceptuels"
]
"updatedAt" => "2021-04-19 17:57:25"
"publicationUrl" => null
"publicationInfo" => array:3 [
"pages" => null
"volume" => null
"number" => null
]
"type" => array:2 [
"fr" => "Actes d'une conférence"
"en" => "Conference Proceedings"
]
"support_type" => array:2 [
"fr" => "Editeur"
"en" => "Publisher"
]
"countries" => array:2 [
"fr" => null
"en" => null
]
"abstract" => array:2 [
"fr" => "Clé USB La qualité des données est un sujet important et difficile. Dans cet article, nous nous intéressons à la qualité des modèles car il est largement accepté que de meilleurs modèles conceptuels produisent des systèmes d'information de meilleure qualité et par là-même des données de meilleure qualité. Malheureusement, il n'y a pas de standard ni de cadre agréé pour attester la qualité d'un mldèle conceptuel. Cet article présente les approches existantes, leurs avantages et leurs limites, puis propose un modèle d'évaluation de la qualité des modèles conceptuels. Une enquête incluant des praticiens de la modélisation a été conduite pour permettre une première validation du modèle. Le "feedback" reçu a été évalué et incorporé dans le modèle. De plus, nous proposons une approche générale de l'évaluation et l'amélioration de la qualité des modèles."
"en" => "Data quality has emerged as an important and challenging topic in recent years. In this article we are addressing the conceptual model quality since it has been widely accepted that better conceptual models produce better information systems and thus implicitly improve the data quality. Unfortunately there is neither standard nor agreed framework for managing conceptual models quality. This article presents an overview of existing approaches with their advantages and limitations. It then proposes a comprehensive model for evaluating the quality of conceptual models. A survey involving practitioners has been used as an initial validation. This validation exercise aims to collect the responders' views on the holistic quality of the conceptual models in addition to their feedback over the newly proposed model. The received feedback has been evaluated and incorporated to the quality model. Furthermore, we propose a general approach for quality evaluation and improvement."
]
"authors_fields" => array:2 [
"fr" => "Systèmes d'Information, Data Analytics et Opérations"
"en" => "Information Systems, Data Analytics and Operations"
]
"indexedAt" => "2024-12-03T17:21:44.000Z"
"docTitle" => "Data Quality Through Conceptual Model Quality - Reconciling Researchers and Practioners Through A Customizable Quality Model"
"docSurtitle" => "Conference Proceedings"
"authorNames" => "<a href="/cv/wattiau-isabelle">COMYN-WATTIAU Isabelle</a>, MEHMOOD K., SI-SAID CHERFI S."
"docDescription" => "<span class="document-property-authors">COMYN-WATTIAU Isabelle, MEHMOOD K., SI-SAID CHERFI S.</span><br><span class="document-property-authors_fields">Information Systems, Data Analytics and Operations</span> | <span class="document-property-year">2009</span>"
"keywordList" => "<a href="#">Cadre de qualité</a>, <a href="#">Critère de qualité</a>, <a href="#">Evaluation de la qualité</a>, <a href="#">Métrique de qualité</a>, <a href="#">Qualité des données</a>, <a href="#">Qualité des modèles conceptuels</a>"
"docPreview" => "<b>Data Quality Through Conceptual Model Quality - Reconciling Researchers and Practioners Through A Customizable Quality Model</b><br><span>2009-01 | Conference Proceedings </span>"
"docType" => "research"
"publicationLink" => "<a href="#" target="_blank">Data Quality Through Conceptual Model Quality - Reconciling Researchers and Practioners Through A Customizable Quality Model</a>"
]
+lang: "en"
+"_type": "_doc"
+"_score": 9.19509
+"parent": null
}