In order to maximally leverage scientific and clinical data, it is critical for researchers to provide detailed and contextual metadata. The Blackfynn platform includes advanced infrastructure to link scientific data to complex metadata schemas. Users can define custom metadata schemas and leverage this to query, explore, and interact with data in context.

Metadata support on the platform is based on the ability to create user-defined data models. Models can be interpreted as the nouns of a dataset (i.e. Subject, Experiment, Study, Diagnosis) and are used to describe the datasets in terms that are meaningful to the user. Each model has properties that describe that model (i.e. properties of a Subject may include Age , Height , Weight, Gender , etc.). In addition, users can define relationships that might exist between records of particular models. For example, a particular Patient X can be enrolled in Study Y.

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