Globally Accessible Distributed Data Sharing (GADDS): a decentralized FAIR platform to facilitate data sharing in the...

Area of Science:

• Life Sciences
• Bioinformatics
• Data Management

Background:

• Researchers face challenges managing large, heterogeneous digital data in life sciences.
• Implementing Findable, Accessible, Interoperable, and Reusable (FAIR) data principles requires significant resources and expertise.
• Existing data management solutions often lack the necessary infrastructure for effective cross-disciplinary collaboration.

Purpose of the Study:

• To develop a platform facilitating FAIR-like data sharing for cross-disciplinary research.
• To address the resource and expertise barriers hindering FAIR data implementation for researchers.
• To enhance data exchange and collaboration through a robust and accessible system.

Main Methods:

• Developed the Globally Accessible Distributed Data Sharing (GADDS) platform.
• Integrated a blockchain-based metadata quality control system.
• Utilized containerized technologies for scalability and minimal hardware requirements, including private cloud-like storage and version control.

Main Results:

• The GADDS platform facilitates FAIR-like data sharing in cross-disciplinary research.
• Decentralized trust is achieved through metadata transparency, improving data exchange.
• A use case in engineered living material technology demonstrates the platform's applicability.

Conclusions:

• The GADDS platform offers a practical solution for researchers to implement FAIR data principles.
• Containerized technologies ensure scalability and ease of use.
• GADDS promotes effective data sharing and collaboration in complex research environments.