- NGI (National Genomics Infrastructure) offers an infrastructure equipped with a comprehensive range of technology platforms for next generation sequencing (NGS) and genotyping.
SNIC (Swedish National Infrastructure for Computing) national research infrastructure makes available large scale high performance computing resources. The SNIC-SENS Bianca system is designed to be used for processing sensitive human data. See the instructions for applying for a Bianca project.
- Note that in case you work at a different institute than Uppsala University, you need a data processing agreement between your institute and UPPMAX/Uppsala University for using the Bianca system - see instructions at UPPMAX.
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 </docs/general/research_data_office> for information about the procedures for this.
In the era of FAIR (Findable, Accessible, Interoperable and Reusable) and Open science, datasets should be made available to the public.
NBIS is building a local federated version of the European Genome-phenome Archive (EGA) in Sweden (EGA-SE), allowing for the publication of sensitive personal data within a legal framework. Until local EGA is available, the dataset should remain in the secure analysis environment (eg at Bianca on Uppmax). We suggest to make a metadata-only record in the SciLifeLab Data Repository with contact details on how to get access, and for which a DOI (ie a persistent identifier) can be issued. The DOI can then be used in the article to refer to the dataset. Once the Swedish EGA is operational, and the dataset deposited there, the access information can be changed to point at the EGA ID. See https://doi.org/10.17044/scilifelab.12292778, for an example.