Research data management involves thinking about what will happen to your data during and after your research project.
The data is likely to go through several stages, such as creation, analysis, preservation, and re-use. These stages are sometimes described as a research data lifecycle.
Writing a data management plan (DMP) ensures that you consider in advance what will happen to your data at each stage in the cycle and ensures that you meet funder and University data requirements.
Benefits of effective research data management include: