Speaker
Description
The exponential growth of Big Data worldwide presents significant challenges for large-scale scientific facilities, prompting coordinated initiatives to fully harness the capabilities of autonomous, remote, and real-time experiments. Central to these initiatives is the integration of AI to steer experimental choices in real-time as they unfold, alongside a commitment to upholding the FAIR (Findable, Accessible, Interoperable, and Reusable) data principles across every stage of a facility's operational lifecycle. Nevertheless, despite substantial progress, achieving a truly user-centric and user-friendly centralization of the broader scientific computing frameworks at such facilities continues to be an unresolved challenge.
In response, the Big Data Science Center at the Shanghai Synchrotron Radiation Facility has developed and deployed a centralized, coherent, and user-friendly platform built upon its superfacility architecture. This platform is purpose-built to oversee the entire data lifecycle inherent to large-scale scientific facilities. By placing the user at the centre of the design, the platform redirects users' attention away from intricate data-management tasks and toward meaningful scientific analysis and interpretation. As a result, the overall ease with which users can engage with the facility has improved markedly, accelerating the rate at which new scientific discoveries are achieved.