What is the term for the process of reading or specifying measurement values for a dataset being imported?

The term for the process of reading or specifying measurement values for a dataset being imported is known as Field Instantiation. This process involves defining the structure and types of individual attributes (fields) that will be part of the dataset. During field instantiation, the system recognizes and establishes how to interpret the incoming data related to each field, allowing for the proper organization and utilization of that data in predictive analytics or other analyses.

In contrast, data modeling generally refers to the overall structuring of data within a database, including relationships and formats, rather than focusing on the details of individual fields. Field categorization involves assigning specific categories or types to fields, which is related but distinct from the actual data reading process. Data grooming refers to the cleaning and preparation of the dataset after it has been imported, focusing on correcting, formatting, and improving data quality rather than the initial specification or reading of measurement values. Thus, the emphasis on the initial stage of data handling in Field Instantiation makes it the correct choice.