Data packages are collections of related data that are bundled together for easy sharing and analysis. They often include datasets, documentation, and metadata, which provide context and details about the data. This organization helps users understand the data's purpose and how to use it effectively. These packages are commonly used in fields like data science, statistics, and machine learning. They can be shared through platforms like GitHub or data repositories, making it easier for researchers and analysts to collaborate and build upon each other's work.