RAISE Architecture

User Journey

RAISE aims at promoting a transparent way of sharing and processing data, enabling the research community to publish their work while preserving the authenticity of the performed data-analysis, ensuring at the same time the accreditation of their work.

RAISE will be based on the FAIR Guiding Principles for scientific data management and stewardship (Findability, Accessibility, Interoperability and Reusability). A trusted party (RAISE) secures the accreditation of the researchers’ contribution.

RAISE introduces a new Persistent Identifier (PID), the Research Analysis Identifier (RAI) and the RAISE platform (coordinated by the RAI Central Hub RCH) that will support research and data analysis services. Based on the RAISE model, researchers can upload their data on their own or any other RAI Certified Node (RCN).

Then, at that point, other investigators can load processing algorithms which will run on the remotely hosted datasets, running the algorithm without allowing the investigator to download or access them directly. When the requested experiment computation is completed, the RAI Certified Node registers the results (together with source dataset and processing algorithm identifier and description) to a blockchain network receiving a Research Analysis Identifier (RAI) as the outcome of the registration process.

RAISE main beneficiaries are the multidisciplinary research community as well as the relevant innovation and industry bodies where data sharing is expected to reduce the time to produce results and increase productivity. RAISE provides equally important value for both beneficiaries: data processors get access to more datasets along with their processing resources while data providers are sure that all the outcomes stemming from their datasets will be acknowledged.