1. A decentralized FAIR platform to facilitate data sharing in the life sciences
- Author
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Vazquez, Pavel, Shoji, Kayoko, Novik, Steffen, Krauss, Stefan, and Rayner, Simon
- Subjects
Computer Science - Distributed, Parallel, and Cluster Computing - 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 within the Hybrid Technology Hub to ease collaboration, speed research workflow and improve research quality.
- Published
- 2021