Data fabrication is when someone makes up or creates false information instead of collecting or finding real information.
Imagine you have a friend who tells a lie about something that happened. They might say they caught a fish that was really big, but they never actually went fishing. That's like data fabrication - making up information that isn't true.
In the world of science and research, data fabrication is a big problem because it can lead to people believing things that aren't true. Scientists and researchers need to be honest and truthful about their work, otherwise it can be harmful to others who rely on their findings.
In summary, data fabrication is like telling a lie in science and research by making up information that isn't real. It's important for people to be honest about their work to prevent confusion and harm to others.