# Data package and Data assets

Research data is often visualized as numerical data, however research data is full of variety and can differ immensely. It includes all physical and digital information collected, observed, generated, or created for analysis. Additionally, administrative documents such as key files, informed consent forms, and interview guides are essential components of research data that contribute to the integrity of a project.

Understanding how data is structured within a research project is crucial for effective data management. Each individual piece of data or documentation is known as a Data Asset, which may evolve as the research progresses. These assets collectively form a Data Package, the final compilation of all collected, analyzed, and processed data, along with the necessary contextual information to ensure its future usability.

In this chapter, we will explore the different types of data assets, how they change throughout the research process, and how to effectively organize them. By properly managing your data assets, you can enhance the quality, reproducibility, and long-term impact of your research.