A model-driven architecture-based data quality management framework for the internet of Things

2016 ◽  
Author(s):  
Aimad Karkouch ◽  
Hajar Mousannif ◽  
Hassan Al Moatassime ◽  
Thomas Noel
Keyword(s):  
Quality Management ◽  
Internet Of Things ◽  
Data Quality ◽  
The Internet ◽  
Model Driven Architecture ◽  
Data Quality Management ◽  
Management Framework ◽  
Model Driven ◽  
The Internet Of Things

scholarly journals Data Quality Management in the Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5834
Author(s):  
Lina Zhang ◽  
Dongwon Jeong ◽  
Sukhoon Lee
Keyword(s):  
Quality Management ◽  
Internet Of Things ◽  
Data Quality ◽  
International Standards ◽  
The Internet ◽  
Management Technique ◽  
Data Types ◽  
Data Quality Management ◽  
Or Organization ◽  
The Internet Of Things

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.

Quality Assurance for Environmental Monitoring

1995 ◽  
Vol 30 (1) ◽  
pp. 1-8
Author(s):  
John Lawrence ◽  
Keijo I. Aspila
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Data Quality ◽  
Quality Assessment ◽  
Ecological Monitoring ◽  
Management Plan ◽  
Total Quality ◽  
Data Quality Management ◽  
Management Planning ◽  
Management Framework

Abstract A data quality management framework for ecological monitoring programs is described. A total quality management framework has three key elements: quality management planning, quality control, and quality assessment and audit. The quality management plan establishes the data quality objectives, the protocols and procedure documents to be followed, reporting schedules, training needs and the individuals to be held accountable. Quality control is the systematic set of procedures carried out by each operational unit involved in the measurement process. Quality assessment is the set of procedures designed to provide the overall check on data quality while verifying that the other components of the framework are adequate.

Data quality and the Internet of Things

Computing ◽  
2019 ◽  
Vol 102 (2) ◽  
pp. 573-599 ◽  
Author(s):  
Caihua Liu ◽  
Patrick Nitschke ◽  
Susan P. Williams ◽  
Didar Zowghi
Keyword(s):  
Internet Of Things ◽  
Data Quality ◽  
The Internet ◽  
The Internet Of Things
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