Introduction to Views
Data science frequently entails comparing different experiments against one another in order to see how inputs and parameters influence outcomes.
Artemis allows you to accomplish this using Views. Views allow you to group sets of connected instances (think trials) and then compare these groups by their fields. These fields capture metadata such as parameters, file paths, and other pieces of metadata unique to a particular instance of a resource.
Broad Overview
Creating a view boils down to three steps. Most other sections of our docs can be understood in isolation, but it’s important you absorb the process of creating and using Views in the order presented here:
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Define custom Fields for your Resources.
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Create a View to define what you’d like to compare.
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Visit the Network to create Groups of Instances you’d like to view together and compare.
Walkthrough
This walkthrough demonstrates how to create a view that displays the different parameters used across Instances in a Network. The end product of this demo will be a table that compares the size of different datasets generated throughout the work mapped by this Network.