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.

物联网（IoT）系统处理由分布在广阔地理区域中的众多传感器生成的大量数据。收集大量数据的目的是创建信息。最佳信息质量（IQ）对于利用物联网系统的价值至关重要。尽管有几项研究提出了有关管理IQ的各种建议，但似乎缺乏足够通用的方法来协助管理人员规划或审核IoT系统的信息质量。因此，需要一个完整的框架来系统地开发物联网系统的整体智商。由于信息是物联网系统的产品，因此本文将数据质量维度描述为该产品的组件，并将物联网技术要素描述为该产品的技术要求。此外，本研究论文使用质量之屋（HoQ）技术将数据质量维度与IoT技术元素相关联。此外，本文通过从IQ管理过程的角度描述HoQ技术的实施，提出了一个用于管理IoT系统IQ的系统框架。本文进行了比较研究，作为对所提出框架的初步验证。但是，随着物联网行业的不断发展，本研究论文可能还需要进行其他两种验证方法：单例实验和专家意见。本文通过从IQ管理过程的角度描述HoQ技术的实施，提出了一个用于管理IoT系统IQ的系统框架。本文进行了比较研究，作为对所提出框架的初步验证。但是，随着物联网行业的不断发展，本研究论文可能还需要进行其他两种验证方法：单例实验和专家意见。本文通过从IQ管理过程的角度描述HoQ技术的实施，提出了一个用于管理IoT系统IQ的系统框架。本文进行了比较研究，作为对所提出框架的初步验证。但是，随着物联网行业的不断发展，本研究论文可能还需要进行其他两种验证方法：单例实验和专家意见。