Online surveys are a great way to gather information from many people quickly and cheaply. They can reach folks who might not otherwise participate, like those in remote areas or sensitive groups. But, there's a catch. When surveys are open to everyone via a generic link or offer money, dishonest pe
The UK's Office for National Statistics (ONS) is planning to publish fewer statistics in 2026. This is to help improve the quality of the most important economic data. The ONS has faced criticism for errors in its data over the past two years. A government review led to major changes in management.
AI projects often fall short, but it's not because the tech is flawed. The real issue is the data. Many companies pour money into AI tools and cloud services, but they overlook the quality of their data. This leads to models that are unreliable or just plain wrong. Think about it: if you're trainin
Tractography is a complex process. It can be influenced by many factors. These include the quality of the data, the choices made by the operator, and even biological differences. Noise and motion can also play a role. Even small decisions or overlooked details can lead to big differences in the
Why is checking research quality important? It helps us trust the findings. This is especially true in fields like health geography and spatial epidemiology. These fields study how places affect health. To make sure the research is solid, experts created a new tool. It is called SMART, which stands
The world of implementation science often relies on self-report measures. This is because many important factors are hard to observe directly. However, when surveys become too complex, people might rush through them or not pay full attention. This can lead to inaccurate data, which is a big problem
Picture a hospital where machines can mimic human learning. That’s what’s possible with natural language processing (NLP) tools for healthcare providers. Imagine walking into a hospital with machine learning models right behind the scenes, churning through data, learning from real-world scenarios, a
