Towards migration-free data preservation using synthetic DNA

Marinelli, Eugenio
Thesis

The growing adoption of AI and data analytics across various sectors has made data preservation a cross-sectoral challenge, affecting everyone from data-driven enterprises to memory institutions. Preserving information over time requires maintaining data for a long period and being able to retrieve this data from the storage medium in the future. Unfortunately, all contemporary storage media have fundamental density and durability limitations, leading to expensive periodic remastering, that makes cost-effective data archival challenging. In this thesis, we present our vision for achieving migration-free data archival using synthetic DNA. In doing so we highlight the challenges in using DNA for data archival and we introduce the innovative, end-to-end DNA storage pipeline we have put in place to overcome those challenges. We validate our DNA storage system through both simulated and wet-lab experiments.


Type:
Thèse
Date:
2024-06-24
Department:
Data Science
Eurecom Ref:
7680
Copyright:
© EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Thesis and is available at :
See also:

PERMALINK : https://www.eurecom.fr/publication/7680