Towards a decentralized future for open-science databases

doi:10.1038/s41588-026-02606-x

Towards a decentralized future for open-science databases

2026-05-19

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DOI：10.1038/s41588-026-02606-x

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Large-scale biological data repositories, particularly when deployed as single, non-mirrored instances or governed within narrow contexts, face structural vulnerabilities, from cyberattacks to funding disruptions. We propose a hybrid framework that integrates federated and decentralized models to ensure the resilience, sustainability and FAIR/CARE stewardship of scientific data as a global public good.

Keywords:

decentralized databases

federated learning

open science

data resilience

FAIR principles

Towards a decentralized future for open-science databases

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