Deliverable Report D4.5 Design of experiments and inter-laboratory testing facilities

This deliverable report describes extensions of the tools available in eNanoMapper’s Jaqpot Quattro (JQ) modelling infrastructure, by integrating capabilities for performing optimal experimental design and interlaboratory proficiency testing. In the first case, researchers may optimise the parameters of their experiments either from the very beginning (when they start designing the experiments) or improve their existing workflow in an iterative fashion. In the second case, a coordinator may collect measurements from laboratories to assess potential bias in their pipeline by comparing the values to those of other labs and issue suggestions for improving their experimental procedure. These tools have been developed and deployed as web services built in R and Python respectively. We first indicate and demonstrate these additions via the JQ API and then present a complete walkthrough using the JQ user interface (UI).