Decision makers in fragile countries need quality data; obtaining such data is challenging. This book presents innovations, methodological as well as in data collection, to meet this challenge. The ...

1. The Data Quality Assessment Framework (DQAF) was developed to address the Executive Board's interest in data quality as expressed during the December 1997 discussion of the Progress Report on the ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

We’re just starting to tap the potential of what AI can do. But amid all the breakthroughs, one thing is fundamental: AI is only as good as the data it was trained on. Unlike people, who can draw on ...

Recruiting participants for injury and violence-related studies can be challenging. Online qualitative data collection can ...

The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...

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 ...

The American Society of Hematology is launching a health equity effort, "Treating Fairly," which was discussed at the quality symposium at the 66th Annual Meeting & Exposition. For 11 years, the ...