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Information modelling for the assessment of a database quality

Abstract : Data collection for a database requires to design a well-elaborated process which allows the collection of the right and sufficient information. Referring to the information theory, a database can be considered as a process, which input corresponds a system state at a time T0 and which output is obtained at a time T1 (T1 greater or equal to T0) and which meaning correspond to those of the initial information at T0. The required characteristics of a database are its independence in regard to the time, the conservation of the information along the time and a minimum of deviation between the information meanings at the input and the output of the process. Meet these requirements means the database has some quality among which: get sufficiently wealthy and representative information on the activity or process which output is used to feed the database; reduce the ambiguity between the information carrier objects based on the minimisation of information overlapping, simple and clear synthesis of the input information based on a unique decomposition model of the information whatever the feeding process can be. To achieve these qualities, the data collection system will be studied, based on a functional analysis approach.
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Submitted on : Friday, December 25, 2020 - 6:33:04 PM
Last modification on : Tuesday, October 26, 2021 - 8:14:03 AM


  • HAL Id : hal-03088216, version 1



Guy-Alain Amoussou, Kondo Hloindo Adjallah, M. Vicarini, Serge Rohmer. Information modelling for the assessment of a database quality. 14th ESReDA International Seminar on Quality of Reliability Data, Vattenfall Energisystem and European Commission joint Research Center Institute for Systems, Informatics and Safety, May 1998, Stockholm, Sweden. pp.147-155. ⟨hal-03088216⟩



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