Information Risk Assessment Model of Accuracy and Timeliness Dimensions

Sevtiyuni, Putri Eka; Oktadini, Nabila Rizki; Bardadi, Ali

doi:10.2991/aisr.k.200424.095

Cited by 1 publication

(1 citation statement)

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“…From the entire set of feasible dimensions, only a few are used to explain the data quality. The most common are timeliness, accuracy, consistency, completeness, fitness for use and relevance [5]. Other alternative dimensions have been also considered depending on the different frameworks used for evaluation and the application domains; a description of twelve of such dimensions is provided in [4].…”

Section: State Of the Art 21 Information Qualitymentioning

confidence: 99%

Towards the definition of an information quality metric for information fusion models

Paggi

Soriano

Lara

et al. 2021

Computers & Electrical Engineering

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Managing information quality has become important in cyber-physical systems dealing with big data. In this regard, different models have been proposed, mainly in flat peer-to-peer networks, in which exchanging information efficiently is a key aspect due to scarce resources. However, little research has been conducted on information quality metrics for cyber-physical scenarios. In this paper, we propose an information quality metric and show its application to an information fusion model. It is a "modeloriented quality metric" since it allows non-predefined variants on its configuration depending on the application domain. The model was tested on several simulations using open datasets. The results obtained in the performance of the model confirm the validity of the information quality metric, proposed in this paper, on which the model is based. The model may have a wide variety of applications such as mobile recommendation or decision making in critical environments (emergencies, war, and so on).

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Section: State Of the Art 21 Information Qualitymentioning

confidence: 99%