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dc.date.accessioned | 2020-09-16T16:50:10Z | |
dc.date.available | 2020-09-16T16:50:10Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/104778 | |
dc.description.abstract | 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. | en |
dc.format.extent | 53-56 | es |
dc.language | en | es |
dc.subject | Data quality | es |
dc.subject | ISO/IEC 25012 | es |
dc.subject | ISO/IEC 25024 | es |
dc.title | Framework for Data Quality Evaluation Based on ISO/IEC 25012 and ISO/IEC 25024 | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.isbn | 978-950-34-1927-4 | es |
sedici.creator.person | Calabrese, Julieta | es |
sedici.creator.person | Esponda, Silvia | es |
sedici.creator.person | Pesado, Patricia Mabel | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Instituto de Investigación en Informática | es |
mods.originInfo.place | Instituto de Investigación en Informática | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
sedici.date.exposure | 2020-09 | |
sedici.relation.event | VIII Conference on Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 8 al 10 de septiembre de 2020) | es |
sedici.description.peerReview | peer-review | es |
sedici.relation.isRelatedWith | http://sedici.unlp.edu.ar/handle/10915/103585 | es |
sedici.relation.isRelatedWith | http://sedici.unlp.edu.ar/handle/10915/103585 | es |
sedici.relation.bookTitle | Short Papers of the 8th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020) | es |