A graphic that shows how combining three different data domains can result in a wonderful illustration.  The image shows the floor plan of the Thompson Library color coded by Room Type and overlaid on the map of the area.


Facilities Information and Technology Services provides a highly integrated, customer focused data and technology environment for all facilities and spatially related information in order to improve the quality and speed of decision making by our customers and partners.

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Submit a New FITS Request

FITS is here to assist the university community with your facility and spatial data needs. If you are in need of assistance regarding one of our systems or the data we manage, please submit a FITS Request using the following link:


Facilities Information and Technology Services (FITS) provides free virtual training classes for a variety of facilities planning needs. Training classes include GIS, Building Information Modeling (BIM), Space Information and Management System (SIMS) and more.

Facilities Information and Technology Services (FITS) provides faculty and staff free access to BIM 360, a user-friendly online platform for viewing 3D models and floor plans of university buildings for projects and daily departmental operations.

UPDATE: These applications are now closed.


What We Do

  • Maintain and develop floor plans and 3D models for all university buildings
  • Provide high quality space data, reporting and analysis along with timely access to record documentation through utilizing the Space Information and Management System (SIMS)
  • Strategically expand the use of Building Information Modeling (BIM) for existing buildings, design and construction, planning and operations
  • Expand and maintain an innovative enterprise GIS and provide high quality GIS related services and applications
  • Provide room numbering for all university projects
  • Provide technology management and leadership for various A&P systems and datasets, including developing integrations and dashboards for university data