Title:
Data Governance and Control For Performance Based Design. An Aspect System for Data Reliability And Completeness
Data Governance and Control For Performance Based Design. An Aspect System for Data Reliability And Completeness
Author(s)
Panagoulia, Eleanna
Advisor(s)
Rakha, Tarek
Gentry, T. Russell
Gentry, T. Russell
Editor(s)
Collections
Supplementary to
Permanent Link
Abstract
Architecture is a discipline that is, ultimately, concerned with linking different systems of knowledge from diverse disciplines together to produce the artifacts of our built environment. Nowadays, the field is aspiring to augment this function with the aid of advances in technology and tools. This process would convert the Architecture, Engineering, Construction and Operations (AECO) industry to a digitally transformed field that would improve the working practice for architects and engineers and the quality of the data they produce and share. This digital transformation requires the ability to transform knowledge from one discipline to another seamlessly and interpreting information from multiple sources on demand. However, due to the high degree of federation amongst the disciplines that comprise the current AECO industry, knowledge and information are frequently lost or are miscommunicated between disciplines, which has impeded attempts at transformation and resulted in data siloing. The phenomenon of data siloing is exacerbated in some areas more than others, depending on the degree of ontological difference between systems of knowledge, such as is the case with performance-based design.
Design and performance analytics are two domains that present a high degree of difference in the interpretation of building elements and functions. Hence the interface between them is challenged by information loss, both operationally, in attempts to communicate concepts or requirements, and technically, due to loss in data transformation and incomplete exchanges. These impediments impact the reliability of the process and undermine the quality of the outcome and limit the ability to mobilize information from various resources. The challenges in data operationalization stem from the lack of a governance and control framework to describe the design and performance aspects of buildings, leading to a reliance on experience and intuition as a means of representing, retrieving, and exchanging information.
This research contributes to the field of performance-based design by providing a data governance and control framework for reducing the complexity involved in communicating, capturing, and validating the increasingly intricate demands placed on architectural design and engineering. The work seeks to develop an approach for data governance and control that can be adopted broadly to facilitate field in creating easier exchange processes, more consistent data that is ultimately more available and accessible. This is achieved by the proposal of a pair of frameworks, one for modeling data and a second establishing process control for management and transmission of data between distributed parties. The frameworks codify the requirements for stakeholders that would allow for implementations that, when adopted, would significantly improve the ways that can be computed, validated, and transmitted.
Sponsor
Date Issued
2023-07-28
Extent
Resource Type
Text
Resource Subtype
Dissertation