Open Science is often mentioned as a key trend for increasing the quality and productivity of science. ICT dramatically enhances the possibility to share scientific data, workflows, models, which increases the rate of discovery and enable faster detection of mistakes.
As Neelie Kroes said "our society and our future are best served through science that is faster, better and more open" http://commentneelie.eu/speech.php?sp=SPEECH/13/236.
For instance, the Synaptic Leap initiative aimed to find an alternative drug treatment for schistosomiasis with fewer side effect. All data and experiments were published on Electronic Lab Notebook; social network were activated. About 30 people, half from industry, participated. This led to the rapid identification of new process and resolving agent.
For more discussion, you can also follow todays webinar on #open science in the Futurium platform at 1pm CET: https://ec.europa.eu/digital-agenda/futurium/en/content/future-open-science
Can we adopt this approach across standard research projects? What are the barriers and the advantages? What are the best practices you can point at?