Chapter 6 Big Data quality assessment in the IoT era
Document Type
Book Chapter
Source of Publication
Empowering IoT with Big Data Analytics
Publication Date
1-17-2025
Abstract
The Internet of Things (IoT) has shown unprecedented data generation and connectivity through disruptive applications across various domains. This data, referred to as Big Data, contains valuable information about various aspects of our lives and the physical world. As the IoT ecosystem continues to expand, ensuring the quality of the vast volumes of data it produces has become crucial. Therefore Big Data quality assessment is important in the IoT era to ensure that the data collected and analyzed is accurate, trustworthy, and usable. By performing Big Data quality assessments, organizations can make better decisions, improve their operations, and gain a competitive advantage. This chapter aims to enhance data quality assessment in IoT by providing an overview of its state-of-the-art. Big Data and IoT data properties and their new lifecycles are discussed. Moreover, selected works from the literature on IoT data quality are exhaustively reviewed. Additionally, a holistic architecture of IoT quality management model is proposed capturing key characteristics of IoT applications. Finally, open challenges and possible future research directions are discussed.
DOI Link
ISBN
9780443216404
Publisher
Elsevier
First Page
141
Last Page
171
Disciplines
Computer Sciences
Keywords
Big Data, IoT, data quality assessment, data properties, holistic architecture
Recommended Citation
Taleb, I.; Dahmani, N.; Mathew, S.S.; and Hayawi, K., "Chapter 6 Big Data quality assessment in the IoT era" (2025). All Works. 7020.
https://zuscholars.zu.ac.ae/works/7020
Indexed in Scopus
no
Open Access
no