Training on BIM Data Management & Analytics

Course Outline

Module 1: Introduction to BIM Data Management

• Key principles of BIM data lifecycle and data roles

• BIM standards for data exchange (IFC, COBie, ISO 19650)

• Overview of analyzing BIM model data

Module 2: Data Structuring and Classification in BIM Models

• Classification systems: Uniclass, Omniclass, MasterFormat

• Model element attributes and data schemas

• Data layering for multidisciplinary coordination

Module 3: Ensuring Data Quality in BIM Projects

• Data quality in BIM projects and common issues

• Techniques for validating and cleaning model data

• QA/QC workflows for design and construction BIM models

Module 4: BIM Model Auditing and Compliance Checking

• Information auditing for BIM models using rule-based systems

• Automated model checking tools (Solibri, Navisworks, BIMCollab)

• Verifying adherence to employer information requirements (EIRs)

Module 5: Common Data Environment (CDE) Management

• Setting up and managing CDEs for centralized BIM data

• Permissions, version control, and audit trails

• Real-time collaboration and document workflows

Module 6: Data Extraction and Visualization

• Tools for extracting BIM data (Revit schedules, Power BI, Dynamo)

• Visualization of BIM analytics for non-technical stakeholders

• Data dashboards for tracking project metrics

Module 7: Using BIM Data for Project Insights

• Using BIM data for project insights and progress monitoring

• Connecting BIM with cost and schedule data (5D and 4D BIM)

• Performance metrics and reporting

Module 8: Predictive Analytics and AI in BIM

• Introduction to predictive modeling in construction

• AI/ML tools for issue detection and forecasting risks

• Integrating real-time data for facility analytics

Module 9: Data Governance and Security in BIM

• Establishing BIM execution plans with clear data protocols

• Cybersecurity and access control for BIM systems

• Legal considerations around BIM data ownership and usage

Module 10: Final Project – Building a Data Strategy for BIM Projects

• Group activity: BIM data audit and strategy development

• Presentation of dashboards and insights

• Course review and action plan development