After Research
Preserving data involves ensuring that the essential information from a research project remains accessible, understandable, and reusable over the long term, even after the project ends, with prior definition of how long it will be stored.
Points to consider:
- Data Supporting Scientific Results: Data that substantiate published conclusions or analyses.
- Final and Significant Versions of Data Files: Whether raw or processed, depending on verification purposes or future reuse.
- Metadata and Contextual Documentation: Information explaining the meaning of variables, collection methods, and selection criteria.
- Unique or Hard-to-Reproduce Data: For example, unrepeatable observations, original large datasets, or specific measurements.
Useful informations:
Making data accessible increases transparency, facilitates reuse, and enhances scientific impact. Data should be shared in trusted repositories, following the principle “as open as possible, as closed as necessary,” clearly defining the level of access (open, controlled, or closed) and usage licenses so that third parties understand how the data can be used.
Useful informations:
Making research data and their associated documentation available in trusted repositories contributes to their long-term preservation, accessibility, and reuse. These repositories enable data to be discovered, cited, and reused securely, often through persistent identifiers such as DOIs. Repositories may be generalist, disciplinary, or institutional, with preference given to recognized and trusted infrastructures, such as the Católica Research Data Repository or other repositories certified as trustworthy.
Useful informations: