Data Archiving

After a project has been published, the results and the data produced have lasting value and can be used to built new studies on. Roughly 2/3 of new studies make use of existing data, either to entirely support computational research, such as bioinformatic algorithm development, or to support and supplement findings from new datasets. Just as important as accumulating the results and knowledge in publications and knowledge bases is the accumulation of the generated data, raw or processed, in machine-readable databases.

The huge amount of data generated in life sciences today leads to unprecedented challenges in data storage. The Data Office will serve as a knowledge centre for platforms and the Swedish research community, to advise on solutions – whether these are in Sweden or abroad at the international bioinformatic archives. The Data Office will also participate in the discussions about the legal framework for Swedish researchers to archive scientific data, including sensitive human data.