This English-language Revit shared parameter text file provides a standardized data dictionary for foodservice equipment projects. The IFSE Data Dictionary provides a structured framework for managing foodservice equipment data within Revit environments. This file contains a comprehensive list of shared parameters, including specific GUIDs that ensure data consistency across multiple language editions. It is designed to facilitate the uniform classification and scheduling of kitchen and catering equipment, aligning with industry-standard data requirements. By implementing these parameters, project teams can maintain accurate metadata for complex foodservice installations, ensuring that equipment specifications remain interoperable and traceable throughout the entire design, procurement, and asset management lifecycle of a commercial kitchen project.

The download is a 31 KB file containing .TXT files.

To integrate this dataset, load the text file into your Revit project through the Shared Parameters dialogue box. Once loaded, these parameters can be mapped to your custom equipment families or project templates. This enables the creation of consistent schedules and data-rich tags that pull information directly from the dictionary. Using this standardized approach ensures that all equipment data remains uniform across large-scale catering projects, simplifying the coordination between architects, MEP engineers, and facility managers during the design and construction phases.

This asset is essential for professional foodservice design and commercial kitchen planning. It is primarily used by BIM managers and lead consultants working on hospitality, restaurant, and large-scale industrial catering projects. The dictionary is particularly useful during the specification and scheduling stages, where consistent data entry for complex kitchen appliances is required. Professionals searching for foodservice BIM standards, equipment scheduling parameters, or unified data structures for catering facilities will find this resource indispensable for maintaining project-wide data integrity and streamlined documentation.