RAISE's mission is to establish the infrastructure for a decentralized crowdsourced data processing system, transitioning from open data to open-access data for processing. The key innovation lies in RAISE's capability to dispatch algorithms to datasets, as opposed to transferring the entire dataset to the algorithm. For the research community, the true value of open data lies not just in accessibility but in streamlined processing to enhance efficiency and productivity. RAISE is dedicated to fostering a transparent approach to sharing and processing data, empowering researchers to publish work with evidence-based authentication of data analysis while ensuring accreditation.
Adhering to the FAIR Guiding Principles (Findability, Accessibility, Interoperability, and Reusability) for scientific data management and stewardship, RAISE fundamentally shifts the traditional approach. Rather than downloading large datasets to a computer housing the processing algorithm, RAISE takes a novel approach by bringing the processing algorithm (small in size) to the dataset (large in size). To bolster dataset repository processing capacities, RAISE adopts the crowdsourcing concept, allowing researchers to seamlessly integrate computers into existing workflows to serve both datasets and processing needs.
RAISE is poised to deliver several impactful outcomes, including:
1. Establishing a reliable crowdsourced network of RAI Certified nodes offering data storage and processing resources.
2. Introducing the RAI Cloud platform to manage data sharing, processing, and discovery.
3. Introducing the Research Analysis Identifier (RAI), a unique identifier for any result, accompanied by dataset information and processing scripts, all without revealing source code or raw data.
4. Providing services for dataset plagiarism identification and proof-of-origin, maximizing trust in the RAISE system.
5. Developing the RAI Synthetic Data Generator to further enhance the system's capabilities.
