RAISE | Research Analysis Identifier SystEm

Summary
The mission of RAISE is to provide the infrastructure for a distributed crowdsourced data processing system, moving from open data to open access data for processing. RAISE will provide the mechanism for sending the algorithm to the dataset instead of sending the data to the algorithm. The real value of open data for the research community is not to access them but to process them as conveniently as possible in order to reduce time-to-result and increase productivity. RAISE aims at promoting a transparent way of sharing and processing data, enabling the research community to publish their work with evidence-based authenticity of the data-analysis performed, ensuring at the same time the accreditation of their work. RAISE will be grounded on the fundamental principle defined in the FAIR Guiding Principles for scientific data management and stewardship (Findability, Accessibility, Interoperability and Reusability). To do so, RAISE brings the processing algorithm (small size) to the dataset (large size) instead of downloading the dataset to the computer where the processing algorithm is. To increase the processing capacity of the dataset repositories, RAISE borrows the crowdsourcing concept where researchers can easily integrate in the existing workflows computers serving both their datasets and the processing capacity.
RAISE will produce the following Outputs:
1. A trustworthy crowdsourced network of RAI Certified nodes offering data storing and processing resources
2. The RAI Cloud platform to orchestrate the data sharing, processing and finding.
3. The Research Analysis Identifier ? RAI , a unique identifier of any result along with the dataset information and the processing script, without disclosing any source code or raw data.
4. Dataset plagiarism identification and dataset proof-of-origin services, to maximise the level of trust of the RAISE system.
5. The RAI Synthetic Data Generator
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101058479
Start date: 01-10-2022
End date: 31-01-2026
Total budget - Public funding: 4 836 125,00 Euro - 4 836 125,00 Euro
Cordis data

Original description

The mission of RAISE is to provide the infrastructure for a distributed crowdsourced data processing system, moving from open data to open access data for processing. RAISE will provide the mechanism for sending the algorithm to the dataset instead of sending the data to the algorithm. The real value of open data for the research community is not to access them but to process them as conveniently as possible in order to reduce time-to-result and increase productivity. RAISE aims at promoting a transparent way of sharing and processing data, enabling the research community to publish their work with evidence-based authenticity of the data-analysis performed, ensuring at the same time the accreditation of their work. RAISE will be grounded on the fundamental principle defined in the FAIR Guiding Principles for scientific data management and stewardship (Findability, Accessibility, Interoperability and Reusability). To do so, RAISE brings the processing algorithm (small size) to the dataset (large size) instead of downloading the dataset to the computer where the processing algorithm is. To increase the processing capacity of the dataset repositories, RAISE borrows the crowdsourcing concept where researchers can easily integrate in the existing workflows computers serving both their datasets and the processing capacity.
RAISE will produce the following Outputs:
1. A trustworthy crowdsourced network of RAI Certified nodes offering data storing and processing resources
2. The RAI Cloud platform to orchestrate the data sharing, processing and finding.
3. The Research Analysis Identifier ? RAI , a unique identifier of any result along with the dataset information and the processing script, without disclosing any source code or raw data.
4. Dataset plagiarism identification and dataset proof-of-origin services, to maximise the level of trust of the RAISE system.
5. The RAI Synthetic Data Generator

Status

SIGNED

Call topic

HORIZON-INFRA-2021-EOSC-01-04

Update Date

09-02-2023
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European Open Science Cloud Partnership (EOSC)
EOSC Partnership Call 2021
HORIZON-INFRA-2021-EOSC-01-04 Innovative and customizable services for EOSC
Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.3 Research infrastructures
HORIZON.1.3.1 Consolidating and Developing the Landscape of European Research Infrastructures
HORIZON-INFRA-2021-EOSC-01
HORIZON-INFRA-2021-EOSC-01-04 Innovative and customizable services for EOSC