Abstract: Systems and methods for aggregating and using data corresponding to physical samples in a virtual environment. The method includes receiving a first physical sample, sensing a first aspect of the first sample to generate first sample first aspect data, storing the first sample first aspect data in a datastore, sensing a second aspect of the first sample to generate first sample second aspect data, storing the first sample second aspect data in the datastore, generating first sample transformed data by running a first series of algorithms using at least one of the first sample first aspect data and the first sample second aspect data, and storing the first sample transformed data in the datastore.

Abstract: A method for determining the significance of a term in a plurality of data products. The data products are stored on a single computer, at one or more locations over a computer-based network, or on the world wide web. The method determines the type of the data product. The data product is assigned a weight value based on a list of predetermined variables. A processor calculates a weight value for each term inside the data product. The weight value equals the weight value assigned to the data product added to the weight value of the term calculated based on a list of predetermined variables. The list of terms and calculated weight values are stored for each term.