SMDQM-Social Media Data Quality Assessment Model

Reda, Oumaima; Zellou, Ahmed

doi:10.1109/iraset52964.2022.9738330

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) 2022

DOI: 10.1109/iraset52964.2022.9738330

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SMDQM-Social Media Data Quality Assessment Model

Oumaima Reda

Ahmed Zellou

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Cited by 2 publications

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Fulmqa: a fuzzy logic-based model for social media data quality assessment

Reda,

Zellou

2023

Soc. Netw. Anal. Min.

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Fulmqa: a fuzzy logic-based model for social media data quality assessment

Reda,

Zellou

2023

Soc. Netw. Anal. Min.

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A Framework for Current and New Data Quality Dimensions: An Overview

Miller,

Whelan,

Chrubasik

et al. 2024

Data

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This paper presents a comprehensive exploration of data quality terminology, revealing a significant lack of standardisation in the field. The goal of this work was to conduct a comparative analysis of data quality terminology across different domains and structure it into a hierarchical data model. We propose a novel approach for aggregating disparate data quality terms used to describe the multiple facets of data quality under common umbrella terms with a focus on the ISO 25012 standard. We introduce four additional data quality dimensions: governance, usefulness, quantity, and semantics. These dimensions enhance specificity, complementing the framework established by the ISO 25012 standard, as well as contribute to a broad understanding of data quality aspects. The ISO 25012 standard, a general standard for managing the data quality in information systems, offers a foundation for the development of our proposed Data Quality Data Model. This is due to the prevalent nature of digital systems across a multitude of domains. In contrast, frameworks such as ALCOA+, which were originally developed for specific regulated industries, can be applied more broadly but may not always be generalisable. Ultimately, the model we propose aggregates and classifies data quality terminology, facilitating seamless communication of the data quality between different domains when collaboration is required to tackle cross-domain projects or challenges. By establishing this hierarchical model, we aim to improve understanding and implementation of data quality practices, thereby addressing critical issues in various domains.

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SMDQM-Social Media Data Quality Assessment Model

Cited by 2 publications

References 30 publications

Fulmqa: a fuzzy logic-based model for social media data quality assessment

Fulmqa: a fuzzy logic-based model for social media data quality assessment

A Framework for Current and New Data Quality Dimensions: An Overview

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