Pluggable Connector Framework accelerates development and release of data connectors

The fast-paced and data-intensive field of biopharmaceutical research and development requires a future-facing scientific data management system (SDMS). Storing, securing, and archiving raw data are table stakes for any SDMS. While superior to paper log books, the traditional SDMS model is becoming obsolete. Many SDMSs have few external integrations and lack interoperability across diverse data sources and applications. These features are essential for advanced functions including data engineering and AI use cases. The traditional SDMS functions like a walled garden. It serves its basic role of protecting your scientific data but fails to promote connections that allow data to be used by outside applications to unlock its true value.

A next-generation SDMS must provide seamless connectivity with every component of a modern lab data ecosystem, from data generators like instruments to data consumers like analytics and AI. The Tetra Scientific Data and AI Cloud™ has the tools to do just that, including the Pluggable Connector Framework. Released in Tetra Data Platform v3.6, the Pluggable Connector Framework enhances the speed and efficiency of updating connectors, bringing agility to lab connectivity and data management. Let’s explore how it works and the benefits it provides.