A decentralized FAIR platform to facilitate data sharing in the life sciences
Pavel Vazquez, Kayoko Shoji, Steffen Novik, Stefan Krauss, Simon, Rayner

TL;DR
This paper introduces a decentralized, user-friendly platform designed for collaborative research in life sciences, ensuring FAIR data principles through blockchain-based metadata control and version tracking to enhance sharing, coordination, and research quality.
Contribution
The paper presents a novel decentralized platform integrating blockchain technology for metadata quality control and version management to facilitate FAIR-compliant data sharing in life sciences.
Findings
Improves collaboration efficiency in research teams.
Ensures FAIR data principles through blockchain-based metadata control.
Provides a version control system for research project tracking.
Abstract
The Hybrid Technology Hub and many other research centers work in cross-functional teams whose workflow is not necessarily linear and where in many cases technology advances are done through parallel work. The lack of proper tools and platforms for a collaborative environment can create time lags in coordination and limited sharing of research findings. To solve this, we have developed a simple, user-friendly platform built for academic and scientific research collaboration. To ensure FAIRness compliance, the platform consists of a metadata quality control based on blockchain technologies. The data is stored separately in a distributed object storage that functions as a cloud. The platform also implements a version control system; it provides a history track of the project along with the possibility of reviewing the project's development. This platform aims to be a standardized tool…
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Taxonomy
TopicsResearch Data Management Practices · Scientific Computing and Data Management · Cell Image Analysis Techniques
