Aspects covered by this conference
This symposium addresses the interfaces between the laboratory and the new infrastructures currently being set up. Open Science aims to make research and development more effective by better supporting collaboration. The advantages of making data open will be critically reviewed and the development of highly interconnected, collaborative research in data driven laboratories of the future will be discussed. Adoption of the FAIR data principles is an important step to support this.
In chemistry, biochemistry and neighbouring areas, funding agencies and national and supranational bodies are strongly advocating the sharing and depositing of data. To make this work the incentive structures for academics need to be realigned, investment in infrastructure and new technologies increased, and the awareness of the advantages of making data available for AI and similar technologies heightened.