BIM maturity at scale: enabling digital transformation across the Canadian construction industry
Notice bibliographique
Résumé
The BIM Maturity at Scale Roadmap is a comprehensive strategy to advance digital transformation across the Canadian Construction Industry (CCI) by scaling Building Information Modelling (BIM) maturity assessment and improvement efforts nationwide. As the construction sector grapples with persistent challenges—including fragmented processes, low productivity, and mounting sustainability pressures—BIM is a cornerstone for digital transformation. It not only enables greater integration of the design, construction, and operation phases but also serves as a catalyst for digital innovation, decarbonization, and performance-based regulation. This Roadmap is a strategic response to Canada’s need for a unified and scalable approach to BIM adoption and maturity assessment. By addressing inconsistencies in adoption rates—especially among small and medium-sized enterprises, regions, and project types—it lays the groundwork for a cohesive national effort. The initiative aligns closely with the goals of the National Research Council (NRC)’s Construction Sector Digitalization and Productivity Challenge Program (CSDP), emphasizing productivity, sustainability, and innovation. This document is in nine sections: Section 1 introduces the BIM Maturity Roadmap's purpose and alignment with the NRC’s CSDP Challenge Program. It highlights BIM's role in advancing digital transformation, productivity, and sustainability in the Canadian Construction Industry. The section underscores the need for a standardized, scalable framework to address uneven BIM adoption and fragmented digital maturity across regions and sectors, fostering collaboration among stakeholders. Section 2 covers foundational concepts and introduces key terms and principles underpinning the roadmap, including BIM maturity, capability, readiness, and compliance. It also discusses how these concepts connect to digital transformation metrics and processes, forming the theoretical basis for a scalable maturity framework. Section 2 outlines the tools, processes, and metrics required to evaluate and enhance BIM maturity across various organizational scales and project types. It integrates benchmarking strategies and feedback mechanisms to ensure continuous improvement and alignment with industry needs. Section 4 focuses on scaling BIM maturity assessment and discusses how the framework is designed to be adaptable to diverse regions, sectors, and project complexities. It addresses the challenges of scaling from individual organizations to industry-wide applications, providing a clear structure for data collection and analysis. Section 5 clarifies how maturity assessments can translate into actionable BIM maturity improvement initiatives. It identifies key areas for growth, including digital competencies, interoperability, and client demand, while emphasizing collaboration among stakeholders. Section 6 presents the Roadmap in three stages. The first stage establishes the foundational frameworks for BIM maturity assessment, integrating global standards like ISO 19650 and best practices from advanced national and international initiatives. The second stage focuses on activation, scaling, and benchmarking efforts, collecting data across provinces and sectors to inform targeted interventions. Finally, the third stage prioritizes the development of practical tools, collaboration protocols, and training programs to support stakeholders in improving their digital capabilities. Section 7 details the insights from stakeholder consultations including the importance of coordinating efforts across the industry and the need to move forward without delay. Section 8 provides a succinct summary of this document. Section 9 includes two annexes that provide additional resources, including maturity models, assessment tools, and reference materials. These support the roadmap's practical application and scalability, ensuring alignment with international best practices and national objectives In summary, the Roadmap addresses critical barriers for market-wide BIM adoption and digital transformation, including a lack of client demand, insufficient digital competencies, and limited interoperability. By encouraging collaboration among policymakers, industry leaders, and academic institutions, the BIM Maturity at Scale project aims to unlock the transformative potential of BIM. The ultimate objective is to create an adaptable, data-driven ecosystem that supports the entire lifecycle of built assets, enhances decision-making, and drives Canada’s Construction Industry towards greater efficiency, innovation, and sustainability.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,004 | 0,007 |
| Études des sciences et des technologies | 0,010 | 0,005 |
| Communication savante | 0,012 | 0,007 |
| Science ouverte | 0,002 | 0,008 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».