What happens when an Open Science infrastructure and a research infrastructure build a monitoring system to understand how outputs connect across publications, data, and software? The collaboration between SciLifeLab and OpenAIRE shows how co-creation can turn fragmented information into a more connected, usable view of research.
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 dataanalysis performed, ensuring at the same time the accreditation of their work. It provides the infrastructure for a distributed crowdsourced data processing system, moving from open data to open access data for processing, and a mechanism for sending the algorithm to the dataset instead of sending the data to the algorithm.
- Funding : 3 222 266,00 Euros
SoBigData RI, with its tools and services, empowers researchers and innovators through a platform for the design and execution of large-scale data science and social mining experiments, open to users with diverse backgrounds, accessible on cloud (aligned with EOSC guidelines), and also exploiting supercomputing facilities. SoBigData RI will render social mining experiments more efficiently designed, adjusted, and repeatable by non-data scientists' domain experts by pushing the FAIR and FACT principles.
TIER2 is an EU-funded project that increases reproducibility of scientific research results that will bring trust, integrity, and efficiency to the European Research Area (ERA) and the global Research and Innovation (R&I) system. The project will boost knowledge on reproducibility, create tools, engage communities, implement interventions and policy across different contexts to increase re-use and overall quality of research results. TIER2 aims to build an evidence-base on the extent and efficacy of existing reproducibility practices and co-create new tools to enhance reproducibility across diverse contexts.