Every R&D company faces similar challenges when integrating lab instruments into a scientific process. This ever-expanding set of instruments produces proprietary data, leading to unnecessary and costly obstacles to data governance, standardization, connectivity, and management. Scientists are forced to spend precious lab time manually transferring data and customizing data pipelines, preventing them from using data at scale, creating burdens on IT and automation teams, and introducing regulatory compliance risk, and ultimately slowing down R&D progress.
To address these chronic data lifecycle challenges, Benchling has taken an open source, platform-based approach to instrument connectivity and data management, applying FAIR best practices. In this tutorial, you’ll learn: -Why taking an open source, platform-based approach is a critical, strategic step -How this approach drives newest product, Benchling Connect, which supports end-to-end instrument connectivity, powerful self-service tooling, and data management - How Connect is helping customers and the broader ecosystem power more connected labs
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