SciTransfer
DNAMIC · Project

Autonomous DNA-Based Long-Term Data Archiving System

digitalTestedTRL 5

Imagine using the same biological code that builds humans to store digital files instead of hard drives. This system turns data into synthetic DNA, which lasts much longer and takes up almost no space. It's like replacing a massive, power-hungry warehouse of servers with a tiny, energy-efficient biological library.

By the numbers
9
Consortium partners
44%
Industry ratio
14721
ISO standard for digital resilience
The business problem

What needed solving

Current data storage cannot keep up with global data growth and consumes too much energy. Existing DNA storage is too complex and expensive, requiring specialist laboratories.

The solution

What was built

An autonomous DNA microfactory prototype that encodes, synthesizes, stores, and decodes digital data. It includes a dual-level encoding scheme for disaster recovery and ISO-compliant archival specifications.

Audience

Who needs this

Cloud storage providersGovernment archival agenciesMedical imaging centersIndustrial NDT laboratories
Business applications

Who can put this to work

Healthcare
enterprise
Target: Medical Diagnostic Centers

If you are a medical diagnostic center dealing with massive volumes of veterinary medical diagnostics data — this project developed a DNA microfactory that provides a durable, low-energy way to archive patient records for decades.

Industrial Manufacturing
mid-size
Target: Quality Assurance Labs

If you are a quality assurance lab dealing with high-resolution non-destructive testing images — this project developed an autonomous archiving system that reduces the energy cost of long-term storage.

Public Administration
enterprise
Target: National Archives

If you are a national archive dealing with patrimonial data that must be preserved for centuries — this project developed a DNA storage solution compliant with ISO 14721 standards to ensure data resilience.

Frequently asked

Quick answers

What is the cost of this solution compared to traditional storage?

Based on available project data, the project focuses on creating cost-effective techniques for sequencing library preparation to reduce the price of reading back data.

Can this be scaled for industrial use?

The project is developing the groundwork for a scalable, autonomous DNA microfactory designed to handle high volume data.

How is the intellectual property handled?

The consortium is currently in the process of securing intellectual property protection for their encoding schemes and sequencing techniques.

Does it follow industry regulations?

Yes, the solution is designed to be compliant with the Open Archival Information System (OAIS) reference model (ISO 14721).

How does it integrate with existing IT systems?

The project is defining interfaces, communication protocols, and an IT structure specifically adapted for high volume data integration.

Consortium

Who built it

The consortium is well-balanced for commercialization, featuring 9 partners with a strong 44% industry representation. With 4 SMEs and 5 universities across 5 countries, the group combines academic research with the practical agility of small businesses to move the technology toward market adoption.

How to reach the team

Contact UAB GENOMIKA in Lithuania

Next steps

Talk to the team behind this work.

Request a technical briefing on DNA data encoding schemes.