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:
Placing research data and documentation in trusted repositories ensures their preservation, accessibility, and long-term reuse. These repositories allow data to be discovered, cited, and used safely, often through persistent identifiers (DOIs). They can be general, subject-specific, or institutional, with recognized or certified trusted repositories recommended, such as Zenodo.
Useful informations: