| Getting their research peer reviewed and published in a respected scientific journal has long been the gold standard for scientists. But too often this process fails to truly advance science because no one else can access or interrogate the underlying data and build on it, argues neuroscientist Sean Hill.
“We need to use this data to build the next iteration of science,” he says. “ The fact that we can’t is a major barrier. Every year, billions of dollars in research value are lost because scientific data is difficult to find, access, and reuse. In fact, most scientific data disappears after only a few years. That drives me crazy. We have to change this and find a scalable way to solve the problem.”
To address this, Hill co-founded Senscience, the AI-driven initiative behind Frontiers’ new FAIR² Data Management service, launched on March 3. Its mission is to make research data AI-ready, aligned with Responsible AI principles, and structured for deep scientific reuse. The goal is to enable open-source science and ultimately help the pharmaceutical and other industries find and leverage AI-ready research data, he says. | 
