Data datasets Preparation for long-term preservation

Once the research project is over, the datasets need to be prepared for long-term preservation. This requires careful planning and a structured approach.
First, datasets need to be organised in a transparent way and documented. It is desirable to use open and widely usable data formats to ensure access to data in the future.
It is essential to include rich and standardised metadata descriptions that make it possible to identify, interpret and re-use the data. Documentation should be both human-readable and machine-readable (automated) to facilitate the implementation of FAIR principles in practice – the discoverability, accessibility, interoperability and re-use of datasets

Data datasets Preparation for long-term preservation

Once the research project is over, the datasets need to be prepared for long-term preservation. This requires careful planning and a structured approach.
First, datasets need to be organised in a transparent way and documented. It is desirable to use open and widely usable data formats to ensure access to data in the future.
It is essential to include rich and standardised metadata descriptions that make it possible to identify, interpret and re-use the data. Documentation should be both human-readable and machine-readable (automated) to facilitate the implementation of FAIR principles in practice – the discoverability, accessibility, interoperability and re-use of datasets