How governments and non-government organisations can benefit from a new approach to construction data?
Published on November 11, 2021 |
Modified on November 11, 2021
In today’s built environment complexity primes over traditional processes and push towards innovation. History has shown us that great common effort is necessary to achieve ambitious chef d’oeuvres such as the Egyptian Pyramids or the Great Wall of China, but also Industrial Revolution and spacecrafts that would bring one day humans on Mars. In fact, every human achievement is a matter of effort and knowledge put in practice.
To solve complexity in our modern time means to enable common effort driven by:
1) Governments – national, sub- or super-national legally recognized organizations that make and enforce laws;
2) Non-government organizations – national and international organizations of people with common humanitarian, professional or social goals.
Moreover, Governments and NGOs provide our societies with a common ground for planning and action that is built on contemporary priorities such as preserving the environment, ensuring less costly, better built, and safer constructions.
A solution to common effort, common knowledge and common ground is structured data allowing to create measurable and applicable international standards, recommendations, and laws. In addition, a common digital language is possible thanks to commonly shared data dictionaries and machine-readable formatting
In this whitepaper you will learn about:
Existing recommendations and regulations
· Paris Climate Accord
· European Green Deal
· European Climate Law
· Renovation Wave
· Health and Safety Regulations
NGOs
· European Construction Industry Federation
· Construction Products Europe
· International Federation of Consulting Engineers
· European Single Market
· European Builders Confederation (EBC)
· SMEunited
· Other EU initiatives
Possible approaches to structuring data that will provide relevant metrics enabling digitalisation of the construction industry
· Structuring data through data dictionaries
· Common data language
· Data governance
· Standardisation