Developing House of Information Quality framework for IoT systems

Rawhi Alrae, Qassim Nasir, Manar Abu Talib

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


The Internet of Things (IoT) system deals with a large amount of data generated by numerous sensors distributed over a vast geographical area. The goal of gathering such a massive amount of data is to create information. The optimum Information Quality (IQ) is critical for leveraging value from the IoT system. Although several studies have made various proposals on managing IQ, there seems to be a lack of methodologies that are general enough to assist managers in planning or auditing the quality of the information for the IoT systems. Therefore, there is a need for a complete framework that systemically develop the total IQ of the IoT systems. Since information is a product for an IoT system, this paper describes data quality dimensions as components of this product and IoT technical elements as the technical requirements for the product. Moreover, this research paper uses the House of Quality (HoQ) technique to correlate the data quality dimensions with the IoT technical elements. Furthermore, this paper proposes a systematic framework to manage IQ for the IoT systems by describing the implementation of the HoQ technique from the perspective of the IQ management processes. The paper conducts a comparison study as an initial validation for the proposed framework. However, with the continuous development of the IoT industry, this research paper may need to conduct other two validation methods: single-case experiment and expert opinion.

Original languageEnglish
Pages (from-to)1294-1313
Number of pages20
JournalInternational Journal of System Assurance Engineering and Management
Issue number6
Publication statusPublished - Dec 2020


  • Data quality dimensions
  • House of Quality
  • IQ management processes
  • Information Quality
  • Information as product
  • Internet of Things
  • IoT elements
  • Quality Management Framework

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Strategy and Management


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