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Daoud, A O, Othman, A A E, Ebohon, O J and Bayyati, A (2022) Overcoming the limitations of the green pyramid rating system in the Egyptian construction industry: a critical analysis. Architectural Engineering and Design Management, 18(02), 114–27.

Eberhardt, L C M, Birkved, M and Birgisdottir, H (2022) Building design and construction strategies for a circular economy. Architectural Engineering and Design Management, 18(02), 93–113.

Jens, K and Gregg, J S (2022) Building performances in open and enclosed spaces: a method for balancing operational costs and space utilization with a focus on user needs and satisfaction. Architectural Engineering and Design Management, 18(02), 149–64.

Patlakas, P, Musso, M and Larkham, P (2022) A digital curation model for post-occupancy evaluation data. Architectural Engineering and Design Management, 18(02), 128–48.

  • Type: Journal Article
  • Keywords: Post-occupancy evaluation; digital curation; data management; building monitoring;
  • ISBN/ISSN: 1745-2007
  • URL: https://doi.org/10.1080/17452007.2021.1901219
  • Abstract:
    Post-Occupancy Evaluation (POE) is an important component of a cyclical design process that allows cost savings and promotes accountability of designers, owners, and users, as well as allowing identification of facilities issues and informed decision-making. It is reasonable to expect that the combined effect of new data-gathering technologies and the increasing urgency of sustainable building design will be that POE studies will increase and, eventually, be applied at a mass scale. Digital Curation (DC) allows for the long-term preservation and constant re-use of research data. Yet there has been no attempt so far to develop a DC strategy for POE data. This paper introduces the concept of Digital Curation and relates it to objective, quantitative POE data. A combination of a literature review and a questionnaire sent to expert respondents is utilised in order to identify data types and major Digital Curation issues relevant to POE. A Digital Curation Model (DCM) for POE data is presented, drawing from the existing models, examples, and best practice available, intended to act as a framework that enables the storage, archiving, management, recovery and utilisation of such data on a mass scale. Finally, the importance, benefits, obstacles and implications of developing a suitable DC strategy for Post-Occupancy Evaluation are discussed.