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Article Dans Une Revue Journal of data and information quality Année : 2023

Data quality assessment through a preference model

Résumé

Evaluating the quality of data is a problem of a multi-dimensional nature and quite frequently depends on the perspective of an expected use or inal purpose of the data. Numerous works have explored the well-known speciication of data quality dimensions in various application domains, without addressing the inter-dependencies and aggregation of quality attributes for decision support. In this work we therefore propose a context-dependent formal process to evaluate the quality of data which integrates a preference model from the ield of Multi-Criteria Decision Aiding. The parameters of this preference model are determined through interviews with work-domain experts. We show the interest of the proposal on a case study related to the evaluation of the quality of hydrographical survey data.
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Dates et versions

hal-04319806 , version 1 (25-03-2024)

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Julian Le Deunf, Arwa Khannoussi, Laurent Lecornu, Patrick Meyer, John Puentes. Data quality assessment through a preference model. Journal of data and information quality, 2023, 16 (1), pp.7. ⟨10.1145/3632407⟩. ⟨hal-04319806⟩
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