mcp

With big data comes big responsibility – of making it FAIR: Findable, Accessible, Interoperable and Reusable. But ensuring data is truly FAIR is challenging as scaling search systems to handle big data requires significant computational resources. Let’s take an example from a user’s perspective. Say you are using BioStudies, our general purpose repository for publishing life sciences data, and want to download data from all functional genomics studies on chickens this year that use the sequencing assay technology....