Best Measurement

One of our priorities throughout the course of our project was to make sure our measurements were clear, consistent, and easy to use across the whole team. Because some members focused on running experiments, while others concentrated on data analysis, we needed a system that kept all our work organised and connected.

How We Organized Our Measurements

To achieve this, we relied on a shared digital platform (Benchling) where every experiment was logged in real time. Each entry included the type of experiment, the conditions, the results with proper units, and notes on any irregularities. This set up meant that even if someone wasn’t physically available in the lab, they could easily follow what was being done and contribute where it was most needed. For the data analysis tasks, this structure made it much easier to retrieve the data attributes and labels without having to rely on lab notebooks or ask for clarifications.

Documentation and Review

We approached documentation as part of the experiment itself. Every measurement was recorded so that it could be traced, repeated, and checked by others. The same principle guided our computational work, where any code used for processing or analysis was reviewed and annotated to ensure that its logic was transparent and reusable.

Why It Was Important

This method gave us more than just organised records; it gave us confidence in our results. Having measurements that were precise, reproducible, and well-documented meant that we could analyze our data faster, avoid mistakes, and make our work accessible to every member of the team.