Text and data mining for open science
- Natalia Manola (University of Athens, Greece)
The proposed session discusses ways of supporting the EOSC vision by fostering
collaboration between infrastructures and bringing into the spotlight Text and Data Mining (TDM) as a valuable research instrument opening up new highways in (multi-/cross-) disciplinary research.
The session is structured in two parts.
The first part consists of presentations that introduce the topic of TDM and give an overview of the services OpenMinTeD offers to research communities, the technical and legal barriers it aims to overcome and the solutions it has adopted.
The second part is an interactive discussion with a panel of experts on Open Science, Infrastructures and Text Data Mining.