Open Science has been a long-standing ideal for many researchers and practitioners around the world. It advocates the open sharing of scientific research, data, processes, and tools and encourages open collaboration. While not without challenges, this mode of scientific research has the potential to change the entire course of science, allowing for more rigorous peer-review and large-scale scientific projects, accelerating progress, and enabling otherwise unimaginable discoveries.
As with any great idea, there are a number of obstacles to such a thing going mainstream. The biggest one is certainly the existing incentive system that lies at the foundation of the academic world. A limited number of opportunities, relentless competition, and pressure to “publish or perish” usually end up incentivizing exactly the opposite – keeping results closed and doing everything to gain a competitive edge. Still, against all odds, a number of successful Open Science projects are out there in the wild, making profound impacts on their respective fields. HapMap Project, OpenWorm, Sloan Digital Sky Survey and Polymath Project are just a few to name. And the whole movement is just getting started.
While some of these challenges are universal, when it comes to Biology and Biomedical Engineering, the road to Open Science is paved with problems that will go beyond crafting proper incentives for researchers and academic institutions.
It will require building hardware.