Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

Innovative technologies of the Fourth Industrial Revolution (4IR) are transforming and modernizing the way data is generated, collected, and analyzed across different industries and fields of study. 1 ...

Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and analyzing data. Colleges and universities are investing heavily in data science ...

The modern business world is driven by data and some of the most valuable is customer data. Finding the best way to satisfy customers requires studying their needs and that means analyzing the data ...

In today’s evidence-driven world, there is increasing demand for researchers with the skills to design, conduct, and evaluate studies that help institutions and schools improve their decision-making ...

International Large-Scale Assessments (ILSAs) serve to monitor and benchmark educational achievements, providing accurate, ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

Data is the foundation of modern business strategy and the fuel for AI applications. It drives decision-making, optimizes operations, and creates personalized customer experiences, enabling businesses ...