Promoting a transparent way of sharing and processing data
RAISE provides 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.elementum sollicitudin eget lorem.
Who will benefit from RAISE (RAISE community)
To overcome the reluctancy of researchers in sharing their outputs and datasets, RAISE introduces a set of services aiming directly to their uptake by the EOSC Community, increasing the capabilities of Open Science for the benefit of the communities, further promoting the concept of Open Repositories.
Researchers (data providers)
- Accreditation of their contribution
- Data plagiarism for originality and ownership
Researchers (data processors)
- More data to be processed available
- Available processing resources from the community
- Tools for replicability and reproducibility
EOSC community
- Onboarding of RAISE services in the EOSC service catalogue and portal
- Uptake by the community and long-term sustainability of RAISE services in the EOSC ecosystem
Publishers
- More transparent peer review process
- RAI identifier as a new tool of trust for scientific publications
Open Data Repositories
- Can easily adopt RAISE and offer more services
Application domains
Within the broad domain of Open Data Science, RAISE will assess the effectiveness of RAISE system in real life use cases in 3 dominant scientific domains that are producing large amounts of data and facing major challenges on data sharing, and sensitive data handling. RAISE will be tested in:
Health pilot
This pilot focuses on the analysis of a variety of datasets ranging from clinical data and medical images, EEG signals and data collected from sensors, for different conditions (Heart failure, stroke) but also different phases of care (hospitalization, transitions, home care).
Online Store
This pilot focuses on mobility patterns and driving behavior and aims to investigate the exploitation and combination of open datasets with non-open datasets that contain sensitive data.
Blogging
This pilot focuses on the analysis of environmental exposure from data collected from personal sensors and aims to investigate how RAISE will tackle the computing power required as well as a careful sharing of data sources while also maintaining privacy protections for personal data (EnvE.X, EUCENTRE).
Portfolio
The initial results of the real-life pilots will be combined in a multidisciplinary research study for the city of Thessaloniki in order to investigate also the reuse of code and results in the creation of new joint studies and publications.
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