2021/02/08 by Pável Vázquez, Vazquez, Pavel, Kayoko Shoji +7
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Cell Image Analysis Techniques #Distributed #FOS: Computer and information sciences #Parallel #Research Data Management Practices #Scientific Computing and Data Management #and Cluster Computing (cs.DC)
paper · pdf · doi:10.48550/arxiv.2102.08947
openalex publication_date 2021/02/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.