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Platform Structure – Material Families, Projects, and Experiments

Material Families, Projects & Experiments

Data in Uncountable is organized into three key entities: material families, projects and experiments. 

At the highest level, material families are used to separate independent datasets. They are, in effect, isolated instances of Uncountable. Data between material families cannot be aggregated in visualizations or machine learning tools. Some companies will use a single material family for all of their data while others—often larger organizations with varied functions—will use multiple material families. 

Possible use cases for multiple material families are: 

  • Product Lines: Company A makes polymers as well as inks. These product lines have different processes, ingredients, and measurements. There is little learning opportunity in analyzing data across these products.
  • Locations: Company A only makes polymers, but they have a team in Japan and another team in New Jersey. Company A has no desire to join data across these teams.

To navigate between material families, you can hover over the Uncountable tab in the side panel and select Navigate to Projects. You will see a drop-down for Material Family on the subsequent page. 

Note: This is the default behavior of the Uncountable tab. This can be modified through settings. 

Within material families, experiments are segmented by projects. Projects represent the different studies or work scientists may be responsible for. For example: specific DOEs, customer requests or locations. 

Projects can follow a hierarchical structure. This means that you can assign child projects to parent projects to create additional layers of organization. 

Note: Clicking into a project will bring you to a dashboard view of all experiments assigned to that project as well as all experiments assigned to its child projects. 

Finally, within projects live experiments. Experiments are the base entities in Uncountable that are used to capture all data relevant to your samples. This includes all experiment metadata (date, IDs), recipe information (ingredients, process parameters, step-specific instructions) and measurements (measured properties, condition parameters). 

Updated on January 4, 2023

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