Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024

Autores
Calabrese, Julieta; Esponda, Silvia; Pesado, Patricia Mabel
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Nowadays, organizations process large volumes of data. Being able to foster and maintain data quality is one of the biggest challenges that these organizations face. To do this, there are standards, such as ISO/IEC 25012 and ISO/IEC 25024, which are intended to measure data quality based on a set of inherent and system-dependent characteristics, along with a set of associated metrics. Using standards to carry out measurements can be complex and even expensive for those with little experience in the area. In this context, we propose in this work a prototype for a tool based on ISO/IEC 25012 and ISO/IEC 25024 that, by analyzing different patterns of common errors in data, allows an organization to understand data current status.
Instituto de Investigación en Informática
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Data quality
ISO/IEC 25012
ISO/IEC 25024
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/104778
Acceder
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spelling Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024Calabrese, JulietaEsponda, SilviaPesado, Patricia MabelCiencias InformáticasData qualityISO/IEC 25012ISO/IEC 25024Nowadays, organizations process large volumes of data. Being able to foster and maintain data quality is one of the biggest challenges that these organizations face. To do this, there are standards, such as ISO/IEC 25012 and ISO/IEC 25024, which are intended to measure data quality based on a set of inherent and system-dependent characteristics, along with a set of associated metrics. Using standards to carry out measurements can be complex and even expensive for those with little experience in the area. In this context, we propose in this work a prototype for a tool based on ISO/IEC 25012 and ISO/IEC 25024 that, by analyzing different patterns of common errors in data, allows an organization to understand data current status.Instituto de Investigación en InformáticaInstituto de Investigación en Informática2020-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf53-56http://sedici.unlp.edu.ar/handle/10915/104778enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1927-4info:eu-repo/semantics/reference/hdl/10915/103585info:eu-repo/semantics/reference/hdl/10915/103585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:55:06Zoai:sedici.unlp.edu.ar:10915/104778Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:55:07.259SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
title Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
spellingShingle Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
Calabrese, Julieta
Ciencias Informáticas
Data quality
ISO/IEC 25012
ISO/IEC 25024
title_short Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
title_full Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
title_fullStr Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
title_full_unstemmed Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
title_sort Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024
dc.creator.none.fl_str_mv Calabrese, Julieta
Esponda, Silvia
Pesado, Patricia Mabel
author Calabrese, Julieta
author_facet Calabrese, Julieta
Esponda, Silvia
Pesado, Patricia Mabel
author_role author
author2 Esponda, Silvia
Pesado, Patricia Mabel
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Data quality
ISO/IEC 25012
ISO/IEC 25024
topic Ciencias Informáticas
Data quality
ISO/IEC 25012
ISO/IEC 25024
dc.description.none.fl_txt_mv Nowadays, organizations process large volumes of data. Being able to foster and maintain data quality is one of the biggest challenges that these organizations face. To do this, there are standards, such as ISO/IEC 25012 and ISO/IEC 25024, which are intended to measure data quality based on a set of inherent and system-dependent characteristics, along with a set of associated metrics. Using standards to carry out measurements can be complex and even expensive for those with little experience in the area. In this context, we propose in this work a prototype for a tool based on ISO/IEC 25012 and ISO/IEC 25024 that, by analyzing different patterns of common errors in data, allows an organization to understand data current status.
Instituto de Investigación en Informática
Instituto de Investigación en Informática
description Nowadays, organizations process large volumes of data. Being able to foster and maintain data quality is one of the biggest challenges that these organizations face. To do this, there are standards, such as ISO/IEC 25012 and ISO/IEC 25024, which are intended to measure data quality based on a set of inherent and system-dependent characteristics, along with a set of associated metrics. Using standards to carry out measurements can be complex and even expensive for those with little experience in the area. In this context, we propose in this work a prototype for a tool based on ISO/IEC 25012 and ISO/IEC 25024 that, by analyzing different patterns of common errors in data, allows an organization to understand data current status.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/104778
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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