A new science eco-system is in the making: Open Science. It will impact the way research is carried out and reported, in particular focussing on improving the way research data is stored and shared. Open Science aims to make research and development more effective by improving the communication of scientific knowledge through free access to research results, by encouraging researchers to share their data, and ensuring that data are complete, comprehensive and transparent.

The lack of a framework for structured and standardized data reporting and the largely outdated infrastructure for reporting and publishing scientific research results means that the ability to validate, verify and reuse data is insufficient to allow data-driven research and development. A good way forward is to adopt the FAIR principles that aim to make aim to make data Findable, Accessible, Interoperable and Reusable.

However, achieving these goals requires not only investment in hardware and personnel (data scientists) but also cultural changes for researchers to be more open to sharing results – perhaps prior to publishing as a journal article.

This symposium addresses the interfaces between the laboratory and the new infrastructures currently being set up. In chemistry, biochemistry and neighbouring areas, funding agencies and national and supranational bodies are mandating the sharing and depositing of data. The digitization of chemistry is picking up speed as new technologies are diffusing into the lab allowing devices to be interconnected, data automatically recorded, and experiments to be automated. The impact of open science on science research will be critically reviewed and the development of highly interconnected, collaborative research in data driven laboratories of the future will be discussed.