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Creating a Social Mining & Big Data Ecosystem: a research infrastructure (RI) providing an integrated ecosystem for ethic-sensitive scientific discoveries and advanced applications of social data mining.


Project Coordinated by CNR

SoBigData++ strives to deliver a distributed, Pan-European, multi-disciplinary research infrastructure for big social data analytics, coupled with the consolidation of a cross-disciplinary European research community, aimed at using social mining and big data to understand the complexity of our contemporary, globally-interconnected society.

project budget
EUR 9.999.546,25
egi budget
EUR 440.625,00
Contract No.
type of project
Research and innovation
Target Group
Research communities

EGI Foundation Role:

EGI is an e-infrastructure engineer partner. EGI Foundation is one of the main contributors to the design and definition of the EOSC architecture and the federated service management framework, and coordinates service pilots participates by the scientific demonstrators. EGI also contributed to the definition of the governance framework and to the works on Rules of Participation. In the project, EGI will enhance the SoBigData platform with two services: Notebooks and the workflow manager Galaxy, leading the T9.3 0n-line coding and workflow design.

EGI Foundation Role:

  • Transform the nascent SoBigData research infrastructure, to create the most comprehensive research infrastructure in large-scale social data mining
  • Enhance SoBigData SaaS offer with new workflow language and editor
  • Efficient access to SoBigData++ through new cloud- and HPC- based components and services, with sustainability and uptake enhanced further through alignment with EOSC

Relevance for EGI:

SoBigData++ allows for improvement of the Software-as-a-Service (SaaS) offer in the EGI portfolio. The Notebooks service will expand its user base and will be enhanced to meet new requirements coming from users of big social data analytics platforms. Workflow management tools are incorporated into the EGI offer as well as a result of SoBigData++

News about SoBigData++ :