Data Quality Management in the Internet of Things.

Lina Zhang,Dongwon Jeong,Sukhoon Lee

doi:10.3390/s21175834

Abstract

Nowadays, IoT is being used in more and more application areas and the importance of IoT data quality is widely recognized by practitioners and researchers. The requirements for data and its quality vary from application to application or organization in different contexts. Many methodologies and frameworks include techniques for defining, assessing, and improving data quality. However, due to the diversity of requirements, it can be a challenge to choose the appropriate technique for the IoT system. This paper surveys data quality frameworks and methodologies for IoT data, and related international standards, comparing them in terms of data types, data quality definitions, dimensions and metrics, and the choice of assessment dimensions. The survey is intended to help narrow down the possible choices of IoT data quality management technique.

Highlights

The concept of the Internet of Things (IoT) was first introduced by Ashton [1] to describe the ability of sensors to connect to the Internet and provide new services
We aim to provide an overview of the current data quality (DQ) of IoT platforms to find suitable methods for assessing IoT data
21 methodologies or frameworks for DQ management containing DQ definition, assessment and improvement processes, and 5 international standards related to DQ were systematically investigated and compared

Summary

Introduction

The concept of the Internet of Things (IoT) was first introduced by Ashton [1] to describe the ability of sensors to connect to the Internet and provide new services. Ma [2] defined the IoT as a network that connects an ordinary physical object with an identifiable address to provide intelligent services. Multiple objects around us can be connected through networks and these connected objects can share data that have and will affect various fields. The report shows that there were 620 known IoT platforms by the end of 2019, more than twice as many as in 2015 [3]. The growing number of IoT platforms are generating exponentially more data and speed. By 2025, the total amount of data from connected devices worldwide is expected to reach 79.4 Zettabytes (ZBs) [4]

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