Preserve

After the project is finished, the data needs to be stored in a backed-up fashion at least for 10 years, and for as long as the data is of scientific value. After this time, some of the data should be archived and some can be disposed. It is best to contact your university for information about the procedures for this.

Find your university contact information

It is important to ensure that the data to be preserved for the future is FAIR in a long-term perspective, e.g. that the data is well organised and documented, and that file formats are standard and open source rather than proprietary ones that might not be readable in the future.

Storage

The National Academic Infrastructure for Supercomputing in Sweden (NAISS) offers storage for small and medium-sized datasets. In the future also large-sized storage will be offered. SciLifeLab offers storage resources to support data-driven life science, they are collectively referred to as SciLifeLab FAIR Storage.

Learn more about NAISS storage

Learn more about SciLifeLab FAIR Storage

Resources

Please find below resources concerning the research data life cycle phase preserve in form of training, guidance and/or tools.

Training resources

• Data organisation

Guiding resources

• Handbook for data containing personal information
• Long-term preservation
• RDMkit on Data organisation
• RDMkit on Preserving data
• Research Involving Human Data by Richelle Björvang

Tools

• NAISS storage rounds
• Storage resources available for researchers in Sweden