Overview

A new science eco-system is growing: Open Science. This is based on the conviction that free access to research publications is not only a moral right of citizens but a necessity to allow the maximum use and impact of research. The current publishing system is no longer fit for purpose; too much emphasis is being placed on using publications for evaluation and not enough on dissemination of new research results. Redressing the balance will not be easy; the publish-or-perish paradigm is detrimental, and could productively be replaced with a more transparent, effective system based on quality and not quantity.

Change is coming, but some scientists are feeling that they will be restricted in their freedom by being mandated to make data available or ensure that their publications are open. Others welcome change, but are hindered by the lack of a framework for structured and standardized data reporting. Open Science aims to make research and development more effective by better supporting collaboration. This can be between research groups, but also between academia and industry. Adoption of the FAIR data principles are an important step to support this, but much needs to be done to ensure that sufficient tools are available so that making data open is not an onerous task for scientists.

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. New technologies are diffusing into the lab allowing devices to be interconnected, data automatically recorded, and experiments to be automated.

This symposium addresses the interfaces between the laboratory and the new infrastructures currently being set up. 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.

The symposium will bring together research scientists, data scientists, publishers, funders and other interested parties to review critically their needs and concerns and discuss how they see the future of Open Science developing.