Data underlying the PhD Dissertation: Understanding and Enhancing the Effectiveness of Adaptive Reuse of Built Heritage: From an International Context to Application in Iran

doi:10.4121/9ce4d0cd-2606-4b99-8b94-dc46f605ec7c.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/9ce4d0cd-2606-4b99-8b94-dc46f605ec7c
Datacite citation style:
Arfa, Fatemeh Hedieh (2024): Data underlying the PhD Dissertation: Understanding and Enhancing the Effectiveness of Adaptive Reuse of Built Heritage: From an International Context to Application in Iran. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/9ce4d0cd-2606-4b99-8b94-dc46f605ec7c.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

The data underlying two chapters of the dissertation are included in this dataset.

The method used in Chapter 2 of this dissertation is a systematic literature review of scientific publications, with the addition of some sources using the snowball method. This chapter has been published as a peer-reviewed journal article: https://doi.org/10.1080/17567505.2022.2058551

Chapter 3 of this dissertation includes a review of the jury reports for two prestigious awards in the Netherlands and Europe: the Nationale Restauratie Platform - Gulden Fenix Prijs (NRP Golden Phoenix Prize) and the Europa Nostra Award. This chapter has been published as a peer-reviewed journal article:

https://doi.org/10.3390/su14031251

history
  • 2024-10-02 first online, published, posted
publisher
4TU.ResearchData
format
The data are comprised of .xlsx and .txt files.
organizations
TU Delft; Faculty of Architecture and Built Environment, Department of Architectural Engineering and Technology (AE+T)

DATA

files (3)