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Research field

Data Engineering

Data are at the core of information systems, so that their engineering fully belongs to Information System Engineering. This discipline aims at developing models, techniques, methods and tools to support the whole data lifecycle according to the most common paradigms, namely future/current/legacy databases, files, paper/electronic documents, ontologies and the web. It copes with standard processes such as database analysis, design and development, but also with other lifecycle processes and non-standard data such as semi-structured and unstructured data, web document as well as transient structured data through workflows. Reengineering and evolution of the data component of information systems in one of the priority of the Data Engineering theme of PReCISE. On the other hand, we analyse the business needs in terms of data management and we assess the opportunities offered by investments in advanced data management tools. This double approach allows us to build the bridge between technical and managerial viewpoints in hot topics as knowledge systems and business intelligence.

  • Model and Method engineering
  • Database design
  • Advanced data engineering and applications
  • Data Evolution
  • Business data management
  • Knowledge systems and business intelligence

Research Units involved

Running projects (9)

Terminated projects (11)

PHDs (11)