Experience on Data Management Techniques for Scientific Applications
Inria and LIRMM, University of Montpellier
Modern science such as agronomy, bio-informatics, and environmental science must deal with overwhelming amounts of experimental data. Such data must be processed (cleaned, transformed, analyzed) in all kinds of ways in order to draw new conclusions, prove scientific theories and produce knowledge. In this talk I will present some experience of specific data management techniques (recommendation, crowdsourcing, data privacy, etc) used in the context of citizen science and internet of objects applications.