While big data benefits are numerous, the use of big data requires, however, addressing
new challenges related to data processing, data security, and especially degradation of data …

Purpose Cities are crucial to reducing greenhouse gas (GHG) emissions. This paper aims to
explore the quality of GHG disclosures by cities via the Carbon Disclosure Project (CDP) …

Selecting relevant data subsets from large, unfamiliar datasets can be difficult. We address
this challenge by modeling and visualizing two kinds of auxiliary information:(1) quality–the …

Purpose This study aimed to analyze existing problems in the dissemination and
management of emergency information on social media platforms, improve social media …

Continuous monitoring of patients involves collecting and analyzing sensory data from a
multitude of sources. To overcome communication overhead, ensure data privacy and …

Despite their importance, federal grant systems often need more clarity regarding cost-
effectiveness, lack of transparency, and slow feedback cycles. Sports funding systems aimed …

Purpose The purpose of this research is to provide a framework in which new data quality
dimensions are defined. The new dimensions provide new metrics for the assessment of …

Background: Effective and efficient health care services need evidence-based decisions,
and these decisions should rely on information from high-quality data. However, despite a …

Due to the convergence of advanced technologies such as the Internet of Things, Artificial
Intelligence, and Big Data, a healthcare platform accumulates data in a huge quantity from …

The current study sought to investigate the factors which influence the quality of decision-
making using business intelligence (BI) in a metal rolling plant in KwaZulu-Natal …