Within a research project, individual pieces of data or documentation are referred to as Data Assets. These assets evolve throughout the research process, such as when raw data is cleaned or transformed into a new version. Properly tracking and managing these assets is essential for maintaining data integrity.
The final collection of all data assets forms the Data Package, which includes:
A well-organized data package is key to effective archiving and future reuse. To streamline data management, data assets can be categorized into four groups: Raw Data, Processed Data, Analyzed Data, and Other Data. Proper organization of these assets ensures clarity, reproducibility, and long-term usability of research data.
Think about the data assets you will collect for your research project.