Digital Preservation with Synthetic DNA - Archive ouverte HAL Accéder directement au contenu
Chapitre D'ouvrage Année : 2022

Digital Preservation with Synthetic DNA

Eugenio Marinelli
  • Fonction : Auteur
  • PersonId : 1266417
Eddy Ghabach
  • Fonction : Auteur
  • PersonId : 1266581
Yiqing Yan
  • Fonction : Auteur
  • PersonId : 1266418
Thomas Bolbroe
  • Fonction : Auteur
Omer Sella
  • Fonction : Auteur
  • PersonId : 1266582
Thomas Heinis
  • Fonction : Auteur
  • PersonId : 1266421
Raja Appuswamy

Résumé

The growing adoption of AI and data analytics in various sectors has resulted in digital preservation emerging as a cross-sectoral problem that affects everyone from data-driven enterprises to memory institutions alike. As all contemporary storage media suffer from fundamental density and durability limitations, researchers have started investigating new media that can offer high-density, long-term preservation of digital data. Synthetic Deoxyribo Nucleic Acid (DNA) is one such medium that has received a lot of attention recently. In this paper, we provide an overview of the ongoing collaboration between the European Union-funded, Future and Emerging Technologies project OligoArchive and the Danish National Archive in preserving culturally important digital data with synthetic DNA. In doing so, we highlight the challenges involved using DNA for long-term preservation, and present a holistic data storage pipeline that brings together several novel techniques (standardized file storage, motif-based DNA encoding, scalable read consensus to name a few) to provide reliable, passive, obsolescence-free digital preservation using synthetic DNA.
Fichier principal
Vignette du fichier
publi-7088.pdf (758.27 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04147192 , version 1 (30-06-2023)

Identifiants

  • HAL Id : hal-04147192 , version 1

Citer

Eugenio Marinelli, Eddy Ghabach, Yiqing Yan, Thomas Bolbroe, Omer Sella, et al.. Digital Preservation with Synthetic DNA. Lecture Notes in Computer Science, 2022. ⟨hal-04147192⟩

Collections

EURECOM
21 Consultations
26 Téléchargements

Partager

Gmail Facebook X LinkedIn More