Globally Accessible Distributed Data Sharing (GADDS): a Decentralized FAIR Platform to Facilitate Data Sharing in the Life Sciences

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2022 May 31

PMID 35639939

Authors

Pavel Vazquez

Kayoko Hirayama-Shoji

Steffen Novik

Stefan Krauss

Simon Rayner

Affiliations

Soon will be listed here.

Abstract

Motivation: Technical advances have revolutionized the life sciences and researchers commonly face challenges associated with handling large amounts of heterogeneous digital data. The Findable, Accessible, Interoperable and Reusable (FAIR) principles provide a framework to support effective data management. However, implementing this framework is beyond the means of most researchers in terms of resources and expertise, requiring awareness of metadata, policies, community agreements and other factors such as vocabularies and ontologies.

Results: We have developed the Globally Accessible Distributed Data Sharing (GADDS) platform to facilitate FAIR-like data-sharing in cross-disciplinary research collaborations. The platform consists of (i) a blockchain-based metadata quality control system, (ii) a private cloud-like storage system and (iii) a version control system. GADDS is built with containerized technologies, providing minimal hardware standards and easing scalability, and offers decentralized trust via transparency of metadata, facilitating data exchange and collaboration. As a use case, we provide an example implementation in engineered living material technology within the Hybrid Technology Hub at the University of Oslo.

Availability And Implementation: Demo version available at https://github.com/pavelvazquez/GADDS.

Supplementary Information: Supplementary data are available at Bioinformatics online.

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