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Multiple Choice

What are the four file types for feature code libraries?

Feature code libraries rely on a set of file types that together define, organize, and describe the features you’re recording. Simple text provides a straightforward, human-readable list of codes that you can easily view and edit. The Nikon code list is a standardized vocabulary used by the system to ensure consistency in how codes are assigned and interpreted across tools and workflows. A data dictionary file defines what each field means, its data type, allowed values, and any constraints, which keeps data consistent and understandable across users and projects. The feature/attribute library is the repository that combines the feature codes with their associated attributes, serving as the authoritative source that other software uses to label and describe features during data collection and analysis. Together, these four types cover the code values, the standardized vocabulary, the field definitions, and the actual feature-attribute mappings needed for robust, repeatable data management.

Feature code libraries rely on a set of file types that together define, organize, and describe the features you’re recording. Simple text provides a straightforward, human-readable list of codes that you can easily view and edit. The Nikon code list is a standardized vocabulary used by the system to ensure consistency in how codes are assigned and interpreted across tools and workflows. A data dictionary file defines what each field means, its data type, allowed values, and any constraints, which keeps data consistent and understandable across users and projects. The feature/attribute library is the repository that combines the feature codes with their associated attributes, serving as the authoritative source that other software uses to label and describe features during data collection and analysis. Together, these four types cover the code values, the standardized vocabulary, the field definitions, and the actual feature-attribute mappings needed for robust, repeatable data management.