Research data life cycle

Analysing

During this phase the collected data, both the re-used data and the data created for this project, is explored. Things to consider are where to do the analysis, how to transfer the data, who is going to do the analysis, and how the steps of the analysis are going to be documented. Implement a good strategy on data organisation, see e.g. A Quick Guide to Organizing Computational Biology Projects for advice. If working with sensitive data, there might be a need for extra security measures as well as ensuring that all necessary agreements are in place.

Learn more about data transfer

See more guidelines on research involving human data

Facilities which offer data analysis services:

Computational resources

The National Academic Infrastructure for Super­computing in Sweden (NAISS) is a national research infrastructure offering large scale high performance computing resources that can be used for analysis. In addition, many universities have their own compute resources avaliable for their researchers to use. Contact your university to learn what computational resources they offer.

Learn more about available national and local computational resources

Find your university contact information

Resources

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

Training resources

Guiding resources

Tools