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

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 ...

As state and local governments adjust to the ramifications of the 2025 fiscal year, they’ll need to balance budgetary concerns with the ability to deliver exceptional citizen services. The ability to ...

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 ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? Nomenclature is important. Data governance, data integrity, and ...

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 ...

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.

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 ...

MicroED uses very small three-dimensional protein crystals and electron diffraction for structure determination. We present an improved data collection protocol for MicroED called 'continuous rotation ...