RAISE

Research Analysis Identifier System — from open data to data open for processing

The RAISE project (Research Analysis Identifier System) aims to provide the mechanisms for a distributed crowdsourced data processing system, moving from open data to data open for processing.

Instead of downloading large datasets to where the processing algorithm lives, RAISE brings the (small) processing algorithm to the (large) dataset. Borrowing the crowdsourcing concept, researchers can integrate their own machines into existing workflows, serving both datasets and processing capacity. The project produces:

  • a trustworthy crowdsourced network of certified nodes offering data storage and processing resources,
  • the RAI Cloud platform to orchestrate data sharing, processing and discovery, and
  • the Research Analysis Identifier (RAI), a unique identifier for any result, together with the dataset information and the processing script.

The vision is “the EOSC Web of FAIR Data and Services for Science”, where researchers receive credit for their contributions and can access data without violating data protection regulations. Our work on consent management in data workflows (Filipczuk et al., 2023; Filipczuk et al., 2024), carried out within RAISE, received the ACM SIGMOD Research Highlights Award.

Official website: raise-science.eu

RAISE is funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101058479, coordinated by the Aristotle University of Thessaloniki with 20 partners from 10 countries.

References

2024

  1. SIGMOD Rec.
    Graph Theory for Consent Management: A New Approach for Complex Data Flows
    Dorota Filipczuk, Enrico H. Gerding, and George Konstantinidis
    ACM SIGMOD Record, 2024

2023

  1. EDBT
    Consent Management in Data Workflows: A Graph Problem
    Dorota Filipczuk, Enrico H. Gerding, and George Konstantinidis
    In Proceedings of the 26th International Conference on Extending Database Technology (EDBT 2023), 2023