In a recent article in Scientific Computing World, Dotmatics Chief Strategy Officer Michael Swartz explores why scientific continuity breaks down across R&D. Siloed ELNs and LIMS, inconsistent terminology between teams, and limited digital representations of new modalities can cause critical context to get lost between experiments, teams, and project phases.
The article explains how a scientific intelligence platform with end-to-end lab orchestration, ontology management, and AI-driven data management helps research teams preserve context, improve reproducibility, and keep projects moving. It also highlights how new solutions from Dotmatics, a Siemens company, are helping the pharmaceutical industry move past these long-standing challenges.
Read the full article to learn how connected scientific data is becoming the foundation of modern drug discovery.