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- Title
Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the life sciences.
- Authors
Vazquez, Pavel; Hirayama-Shoji, Kayoko; Novik, Steffen; Krauss, Stefan; Rayner, Simon
- 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.
- Subjects
UNIVERSITETET i Oslo; INFORMATION sharing; LIFE sciences; METADATA; DATA management; QUALITY control; SCALABILITY
- Publication
Bioinformatics, 2022, Vol 38, Issue 15, p3812
- ISSN
1367-4803
- Publication type
Article
- DOI
10.1093/bioinformatics/btac362