ZENITH: Scientific Data management

Data science – big data – scientific data – cloud computing – peer to peer – data integration – analytics – machine learning – information search – privacy

 Scientific fields: Computer sciences

The Joint research team ZENITH brings to #DigitAg its expertise in data science, notably in management of distributed and parallel data, data integration, scientific workflows processing and big data analysis.

 Research axis #DigitAg: 4 – 5   |    Challenges: 5
 Contact the ZENITH Staff

Director: Patrick Valduriez – +33 (0)4 67 14 97 26
Organizations:  Inria – CNRS – University of Montpellier
Research topics

Data and data flux handling

  • Data and Data flux handling
  • Data search: machine learning, content-based picture search
  • Data analysis: data mining, management of scientific workflows
  • Data Integration: crowdsourcing, semantic integration of metadata (pattern, ontologies)
  • Management of distributed data: distributed storage, indexation, privacy
All the publications of ZENITH Joint Research Team