The foundation of any successful AI model lies in the quality and abundance of data. Yet even with breakthroughs in AI algorithms such as GPT-4, Anthropic and Mistral, organizations often struggle ...

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 ...

Recruiting participants for injury and violence-related studies can be challenging. Online qualitative data collection can increase accessibility for some participants, expand a study's reach to ...

In a time when health systems are struggling to gain meaningful insights from data – and simultaneously aware that safeguarding patient privacy is essential – synthetic data offers a lot of potential.

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 ...

Most synthetic data sets are generated on the basis of real-world data, and the entire data production chain from data collection to elaboration introduces biases into the original data sets. 64 Like ...