A Practical Guide to the Connected Lab:Orchestration from Molecule to Market

Scientists don't get into science to manage data pipelines. But for most labs, that's exactly what happens — data loses context the moment an experiment ends, tools don't talk to each other, and the reasoning behind results lives in someone's head or an email thread.

This guide is about the layer that fixes that: lab orchestration.

Inside, you'll learn how connecting the physical, digital, and logical layers of your lab creates a continuous scientific record — one where data travels with its context, results are reproducible and explainable, and AI actually works on a foundation worth trusting.

Whether you're just starting to feel the friction of fragmentation or ready to take your connected lab to the next stage, this is your practical starting point.

What's inside:

• Why data loses context in transit — and how to stop it

• The three layers every lab needs to connect (and what happens when one is missing)

• How Dotmatics Luma orchestrates the full physical-digital environment

• A lab digital maturity framework to assess where you are today

• A simple, staged path forward — starting from wherever you are now