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A generic framework for data quality analytics
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-9992-7791
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering.ORCID iD: 0000-0002-5347-0853
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-5620-5265
2020 (English)In: International Journal of COMADEM, ISSN 1363-7681, Vol. 23, no 1, p. 31-38Article in journal (Refereed) Published
Abstract [en]

The challenge of generalizing Data Quality assessment is hindered by the fact that Data Quality requisites depend on the purpose for which the data will be used and on the subjectivity of the data consumer. The approach proposed in this paper to address this challenge is to employ a semi-automated user-guided Data Quality assessment. This paper introduces a generic framework for data quality analytics which is mainly composed by a set of software units to perform semi-automated Data Quality analytics and a set of Graphical User Interfaces to enable the user to guide the Data Quality assessment. The framework has been implemented and can be customized according to the needs of the purpose and of the consumer. The framework has been instantiated in a case study on Long-hole drill rigs, where several Data Quality issues have been discovered and their root cause investigated.

Place, publisher, year, edition, pages
COMADEM International, 2020. Vol. 23, no 1, p. 31-38
Keywords [en]
Data Quality, Maintenance, Long-hole drilling, Mining
National Category
Other Civil Engineering
Research subject
Operation and Maintenance; Mining and Rock Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-78501Scopus ID: 2-s2.0-85088900505OAI: oai:DiVA.org:ltu-78501DiVA, id: diva2:1423842
Projects
IDQ4LCCAIF/R
Funder
Vinnova
Note

Validerad;2020;Nivå 1;2020-04-21 (alebob)

Available from: 2020-04-15 Created: 2020-04-15 Last updated: 2020-09-02Bibliographically approved

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Scopushttps://apscience.org/comadem/index.php/comadem/article/view/188

Authority records

Castaño Arranz, MiguelGustafson, AnnaAl-Chalabi, Hussan

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CiteExportLink to record
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